CN114255833A - A sample analysis system - Google Patents
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Abstract
The application provides a sample analysis system, can improve the accuracy of blood cell sample image classification. The sample analysis system includes: a processor and a display screen; the processor is used for receiving a blood cell sample image of an analysis object; the processor is further configured to obtain auxiliary classification information corresponding to the analysis object; the processor is further used for providing an analysis interface, and displaying the blood cell sample image on the analysis interface through the display screen; the processor is further configured to receive a first operation instruction of a user, display the blood cell sample image on the analysis interface after being amplified, and display the auxiliary classification information around the amplified blood cell sample image; the processor is further used for responding to a second operation instruction of the user on the analysis interface, and determining a target classification result corresponding to the blood cell sample image.
Description
Technical Field
The application relates to the field of medical equipment, in particular to a sample analysis system.
Background
Sample analysis is typically the analysis of cellular particles in a biological sample, for example, the classification and counting of cellular particles. Sample analysis is typically performed by a sample analysis device.
The blood cell reading machine is a blood cell automatic inspection and classification device, a user prepares a blood sample of an analysis object into a blood smear, the blood cell graph scanning and segmentation are automatically completed by the blood cell reading machine, a blood cell graph is generated, an original classification result is given, and the examination and reclassification of the blood cell graph are manually performed on the basis.
However, due to the diversity of cell morphology, if the cell classification is performed by only one cell staining picture, the accuracy of cell classification is not high.
Disclosure of Invention
The application provides a sample analysis system and a sample analysis method, which can improve the accuracy of blood cell sample image classification.
A first aspect of the present application provides a sample analysis system comprising:
a processor and a display screen;
the processor is used for receiving a blood cell sample image of an analysis object;
the processor is further configured to obtain auxiliary classification information corresponding to the analysis object;
the processor is further used for providing an analysis interface, and displaying the blood cell sample image on the analysis interface through the display screen;
the processor is further configured to receive a first operation instruction of a user, display the blood cell sample image on the analysis interface after being amplified, and display the auxiliary classification information around the amplified blood cell sample image;
the processor is further used for responding to a second operation instruction of the user on the analysis interface, and determining a target classification result corresponding to the blood cell sample image.
Based on the first aspect of the present application, in a first implementation manner of the first aspect of the present application, the auxiliary classification information includes at least one of blood general information of the analysis object, medical record information of the analysis object, attribute information of the analysis object, remark information corresponding to the analysis object, a sample picture corresponding to a reference classification, an initial classification probability corresponding to the blood cell sample image, and a classification condition.
In a second implementation manner of the first aspect of the present application, the processor is further configured to:
generating an image display area for displaying the amplified blood cell sample image and a feature display area for displaying the auxiliary classification information on the analysis interface;
the processor is further configured to display the image display area and the feature display area via the display screen.
In a third implementation manner of the first aspect of the present application, the processor is further configured to:
and generating at least one information display area for displaying the auxiliary classification information in the characteristic display area.
In a fourth implementation form of the first aspect of the present application, based on the first aspect of the present application, the processor is further configured to:
and responding to a third operation instruction of the user, and canceling to display the image display area and/or the feature display area on the analysis interface.
In a fifth implementation manner of the first aspect of the present application, the processor is further configured to:
responding to a fourth operation instruction of the user, and adjusting the amplified blood cell sample image displayed in the image display area;
or the like, or, alternatively,
when the blood cell sample image includes at least two images, the enlarged blood cell sample image displayed in the image display area is switched.
In a sixth implementation manner of the first aspect of the present application, the processor is further configured to:
generating a remark area on the analysis interface;
and generating remark information corresponding to the first blood cell sample image in the remark area in response to a fifth operation instruction of the user.
A second aspect of the present application provides a sample analysis system comprising:
the system comprises a sample classification module, a memory, a processor and a display screen;
the sample classification module is used for classifying blood cell sample images of an analysis object to obtain an initial classification result corresponding to the blood cell sample images;
the memory is used for storing the blood cell sample image and the initial classification result;
the processor is used for acquiring auxiliary classification information corresponding to the analysis object;
the processor is used for providing an analysis interface, and enabling the blood cell sample image and the auxiliary classification information to be displayed on the analysis interface through the display screen;
the processor is further used for responding to a first operation instruction of a user on the analysis interface and determining a target classification result corresponding to the blood cell sample image.
In a first implementation manner of the second aspect of the present application, the auxiliary classification information includes at least one of blood general information of the analysis object, medical record information of the analysis object, attribute information of the analysis object, remark information corresponding to the analysis object, a sample picture corresponding to a reference classification, an initial classification probability corresponding to the blood cell sample image, and a classification condition corresponding to the initial classification result.
In a second implementation form of the second aspect of the present application, the analysis interface includes a first analysis sub-interface, and the processor is further configured to:
generating a first image display area for displaying a first blood cell sample image, a first feature display area for displaying the auxiliary classification information, and a result display area for displaying the initial classification result or the target classification result at the first analysis sub-interface, wherein the first blood cell sample image is at least one of the blood cell sample images;
the processor is further configured to display the first image display area, the first feature display area, and the result display area via the display screen.
In a third implementation form of the second aspect of the present application, based on the second aspect of the present application, the processor is further configured to:
receiving a second operation instruction of the user at the first analysis sub-interface;
and responding to the second operation instruction to generate a second analysis sub-interface.
In a fourth implementation form of the second aspect of the present application, based on the second aspect of the present application, the processor is further configured to:
and suspending the second analysis sub-interface in the first analysis sub-interface for display.
In a fifth implementation manner of the second aspect of the present application, the processor is further configured to:
generating a second image display area for displaying the amplified first blood cell sample image and a second feature display area for displaying the auxiliary classification information at the second analysis sub-interface;
the processor is further configured to display the second image display area and the second feature display area via the display screen.
In a sixth implementation form of the second aspect of the present application, based on the second aspect of the present application, the processor is further configured to:
the second feature display area is disposed adjacent to the second image display area.
In a seventh implementation manner of the second aspect of the present application, based on the second aspect of the present application, the processor is further configured to:
and generating at least one information display area for displaying the auxiliary classification information in the second characteristic display area.
In an eighth implementation manner of the second aspect of the present application, the processor is further configured to:
responding to a third operation instruction of the user, and displaying the second image display area and/or the second feature display area on the second analysis sub-interface;
and/or the presence of a gas in the gas,
and responding to a fourth operation instruction of the user, and canceling to display the second image display area and/or the second characteristic display area on the second analysis sub-interface.
In a ninth implementation form of the second aspect of the present application, based on the second aspect of the present application, the processor is further configured to:
responding to a fifth operation instruction of the user, and adjusting the amplified first blood cell sample image displayed in the second image display area;
or the like, or, alternatively,
and when the blood cell sample images corresponding to the initial classification result comprise at least two blood cell sample images, switching the first blood cell sample image displayed in the second image display area into a second blood cell sample image, wherein the second blood cell sample image is an enlarged image of the blood cell sample image except the first blood cell sample image in the blood cell sample image.
In a tenth implementation form of the second aspect of the present application, based on the second aspect of the present application, the processor is further configured to:
generating a remark area on the analysis interface;
and generating remark information corresponding to the first blood cell sample image in the remark area in response to a sixth operation instruction of the user.
A third aspect of the present application provides a sample analysis system comprising:
a processor and a display screen;
the processor is used for receiving a blood cell sample image of an analysis object sent by the sample classification module;
the processor is further configured to obtain auxiliary classification information corresponding to the analysis object;
the processor is further used for providing an analysis interface, and the blood cell sample image and the auxiliary classification information are displayed on the analysis interface through the display screen;
the processor is further used for responding to a first operation instruction of a user on the analysis interface and determining a target classification result corresponding to the blood cell sample image.
In an embodiment of the third aspect of the present invention, the auxiliary classification information includes at least one of blood general information of the analysis target, medical record information of the analysis target, attribute information of the analysis target, remark information corresponding to the analysis target, a sample picture corresponding to a reference classification, an initial classification probability corresponding to the blood cell sample image, and a classification condition corresponding to the initial classification result.
A fourth aspect of the present application provides a sample analysis method, comprising:
receiving a blood cell sample image of an analysis object;
acquiring auxiliary classification information corresponding to the analysis object;
displaying the blood cell sample image on an analysis interface;
receiving a first operation instruction of a user, displaying the blood cell sample image on the analysis interface after the blood cell sample image is amplified, and displaying the auxiliary classification information around the amplified blood cell sample image;
and responding to a second operation instruction of the user on the analysis interface, and determining a target classification result corresponding to the blood cell sample image.
A fifth aspect of the present application provides a sample analysis method, comprising:
obtaining an initial classification result corresponding to a blood cell sample image of an analysis object;
acquiring auxiliary classification information corresponding to the analysis object;
displaying the cell sample image and the auxiliary classification information on an analysis interface;
and determining a target classification result corresponding to the blood cell sample image in response to a first operation instruction of a user.
A sixth aspect of the present application provides a sample analysis method, comprising:
receiving a blood cell sample image of an analysis object sent by a sample classification module;
acquiring auxiliary classification information corresponding to the analysis object;
displaying the blood cell sample image and the auxiliary classification information on an analysis interface;
and determining a target classification result corresponding to the blood cell sample image in response to a first operation instruction of a user on the analysis interface.
A seventh aspect of the present application provides a computer apparatus comprising: at least one processor, a memory and a transceiver connected, wherein the memory is configured to store program code that is loaded and executed by the processor to implement the steps of the sample analysis method of the fourth to sixth aspects.
An eighth aspect of the present application provides a computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the steps of the sample analysis method of the fourth to sixth aspects described above.
In summary, it can be seen that, in the embodiment provided by the application, the processor may display the amplified blood cell sample image and the auxiliary classification information of the analysis object on the analysis interface through the display screen, so that when the user classifies the blood cell sample image of the analysis object, the amplified blood cell sample image is displayed, so that the user may observe more details of the blood cell sample image, and the auxiliary classification information of the analysis object may be referred to, so that the classification result of the blood cell sample image is more accurate.
Drawings
Fig. 1 is a schematic structural diagram of a sample analysis system according to an embodiment of the present disclosure;
FIG. 2 is a schematic interface diagram of an analysis interface provided in an embodiment of the present application;
fig. 3 is another schematic structural diagram of a sample analysis system according to an embodiment of the present disclosure;
FIG. 4 is another interface schematic diagram of an analysis interface provided in an embodiment of the present application;
FIG. 5 is another interface schematic diagram of an analysis interface provided in an embodiment of the present application;
fig. 6 is another schematic structural diagram of a sample analysis system according to an embodiment of the present disclosure;
FIG. 7 is another interface schematic of an analysis interface provided in an embodiment of the present application;
FIG. 8 is another interface schematic of an analysis interface provided in an embodiment of the present application;
FIG. 9 is a schematic flow chart of a sample analysis method provided in an embodiment of the present application;
FIG. 10 is another schematic flow chart of a sample analysis method provided in an embodiment of the present application;
fig. 11 is another schematic flow chart of a sample analysis method according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments.
The terms "first," "second," and the like in the description and in the claims of the present application and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments described herein are capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprise," "include," and "have," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or modules is not necessarily limited to those steps or modules expressly listed, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus, the division of modules presented herein is merely a logical division that may be implemented in a practical application in a further manner, such that a plurality of modules may be combined or integrated into another system, or some feature vectors may be omitted, or not implemented, and such that couplings or direct couplings or communicative coupling between each other as shown or discussed may be through some interfaces, indirect couplings or communicative coupling between modules may be electrical or other similar, this application is not intended to be limiting. The modules or sub-modules described as separate components may or may not be physically separated, may or may not be physical modules, or may be distributed in a plurality of circuit modules, and some or all of the modules may be selected according to actual needs to achieve the purpose of the present disclosure.
Referring to fig. 1, fig. 1 is a schematic diagram of a sample analysis system 100 according to an embodiment of the present disclosure, including:
a processor 101 and a display screen 102;
the processor 101 is configured to receive an image of a blood cell sample of an analysis subject. It is understood that the blood cell sample image may be sent by a sample analysis module (i.e. a reader), or may be sent by a medical staff through software; in addition, when the blood cell sample image is transmitted to the sample analysis module, the blood cell sample image to be analyzed may be transmitted alone, or the blood cell sample image to be analyzed and the initial classification result corresponding to the blood cell sample image may be transmitted together, and the present invention is not particularly limited as long as the processor 101 can receive the blood cell sample image to be analyzed.
The processor 101 is further configured to obtain auxiliary classification information corresponding to the analysis object, where the auxiliary classification information includes at least one of blood routine information of the analysis object, medical record information of the analysis object, attribute information of the analysis object, remark information corresponding to the analysis object, a sample picture corresponding to a reference classification, an initial classification probability corresponding to a blood cell sample image, and a classification condition. For example, the attribute information of the analysis target may be information such as height, weight, and blood pressure of the analysis target; the remark information corresponding to the analysis object can be remark information of medical staff on the blood cell sample image; the reference classified sample picture may be some blood cell classified sample pictures, for example, a sample picture corresponding to neutrophilic polymorphonuclear granulocytes; the initial classification probability of the blood cell sample image may be, for example, what type of cell the blood cell sample image has a probability of 80%, such as that the blood cell sample image has a probability of 80% belonging to neutrophilic granulocyte; classifying conditions; that is, the conditions to be satisfied when classifying the blood cell sample image, for example, what conditions to classify the cell into a certain type of cell, and what conditions to classify the cell, can be displayed in text.
The processor 101 is further configured to provide an analysis interface on which the blood cell sample image is displayed via the display screen 102.
The processor 101 is further configured to receive a first operation instruction of a user, display the blood cell sample image on an analysis interface after being amplified, and display auxiliary classification information around the amplified blood cell sample image; that is, after acquiring the auxiliary classification information corresponding to the analysis object and displaying the blood cell sample image on the analysis interface through the display screen 102, the processor 101 may receive a first operation instruction of the user, where the first operation instruction is to enlarge the blood cell sample image and display the enlarged blood cell sample image on the analysis interface, and display the auxiliary classification information of the analysis object around the enlarged blood cell sample image.
It can be understood that, the processor 101 receives the first operation instruction of the user, enlarges the blood cell sample image and displays the enlarged blood cell sample image on the analysis interface, and displays the auxiliary classification information around the enlarged blood cell sample image, which means that after receiving the first operation instruction of the user, the enlarged blood cell sample image and the auxiliary classification information are both displayed on the analysis interface, and may appear successively or simultaneously, and the details are not limited.
In an embodiment, the operation for generating the first operation instruction at least includes one of a gesture operation, a sliding operation, a clicking operation, and a voice control operation, for example, when a user performs a clicking operation on an analysis interface, the processor may receive the clicking operation, and at this time, the clicking operation generates the first operation instruction; that is, the operation instruction may be defined in advance, for example, a slide operation (e.g., a left slide operation, a right slide operation, a top slide operation, a bottom slide operation, etc.) for displaying the blood cell sample image on the analysis interface after being enlarged and displaying the auxiliary classification information around the enlarged blood cell sample image, a click operation (e.g., a double-click operation, a mouse slide operation, a long-press operation, a single-click operation, a simultaneous pressing operation of left and right mouse buttons, a middle roller mouse button, etc.) for displaying the blood cell sample image on the analysis interface after being enlarged and displaying the auxiliary classification information around the enlarged blood cell sample image (e.g., a left-hand wrist or arm, for example, the operation of swinging the wrist or arm to the right, such as a four-finger pinch operation or a three-finger slide-up operation, etc.), or defining the voice control operation as an operation of displaying the blood cell sample image after being enlarged on the analysis interface and displaying the auxiliary classification information around the enlarged blood cell sample image (such as receiving a sound that displays the blood cell sample image after being enlarged on the analysis interface and displaying the auxiliary classification information around the enlarged blood cell sample image), which is merely an example and does not represent a limitation on the operation of generating the first operation instruction. Of course, the first operation instruction may also be generated by setting a corresponding shortcut key on an input device, for example, the input device is a keyboard, and the "CTRL + a key" on the keyboard is set as an operation of displaying the blood cell sample image on the analysis interface after being enlarged, and displaying the auxiliary classification information around the enlarged blood cell sample image, which is not limited in particular.
The processor 101 is further configured to determine a target classification result corresponding to the blood cell sample image in response to a second operation instruction of the user on the analysis interface; that is, after the processor 101 displays the amplified blood cell sample image and the auxiliary classification information corresponding to the analysis object on the analysis interface through the display screen 102, it may receive a second operation instruction of the user, and determine a target classification result corresponding to the blood cell sample image in response to the second operation instruction of the user.
It should be noted that the manner of generating the second operation instruction is similar to the manner of generating the first operation instruction, and the manner of generating the first operation instruction has been described in detail above, and is not described herein again in detail.
In summary, it can be seen that, in the embodiment provided by the application, the processor may display the amplified blood cell sample image and the auxiliary classification information of the analysis object on the analysis interface through the display screen, so that when the user classifies the blood cell sample image of the analysis object, the amplified blood cell sample image is displayed, and when the user classifies the blood cell sample image, the user may observe more details of the blood cell sample image and refer to the auxiliary classification information of the analysis object, so that the classification result of the blood cell sample image is more accurate.
In one embodiment, the processor 101 is further configured to:
generating an image display area for displaying the amplified blood cell sample image and a feature display area for displaying auxiliary classification information on an analysis interface;
the image display area and the feature display area are displayed by the display screen 102.
In this embodiment, the processor 101 may further generate an image display area for displaying the enlarged blood cell sample image and a feature display area for displaying the auxiliary classification information on the analysis interface; that is, the processor 101 may generate two regions in the analysis interface, one for displaying the enlarged blood cell sample image and one for displaying the auxiliary classification information.
It should be noted that the processor 101 may further generate at least one information display area for displaying the auxiliary classification information in the feature display area, where the number of the generated at least one information display area is the same as the number of the information included in the auxiliary classification information, for example, the auxiliary classification information includes blood general information of the analysis object and medical record information of the analysis object, and then generate two information display areas in the feature display area, one information display area displays the blood general information of the analysis object, and one information display area displays the medical record information of the analysis object.
Referring to fig. 2, fig. 2 is an interface schematic diagram of an analysis interface provided in an embodiment of the present application, and here, blood general information of an analysis object and medical record information of the analysis object are taken as examples for explanation, so that the characteristic display area includes two information display areas, and the analysis interface includes:
an image display area 201 and a feature display area 202;
wherein the image display area 201 displays the amplified blood cell sample image, and the characteristic display area 202 includes an information display area 202-A and an information display area 202-B;
the information display area 202-a displays blood routine information of an analysis object, such as a graph showing the blood routine information, a graph corresponding to red blood cell count (RBC), a graph corresponding to Platelet (PLT), and the like (of course, other forms can also be shown, and the graphs are used as an example and are not limited specifically);
medical record information of an analysis object, for example, patient information in the display area 202-B of fig. 2, is displayed in the information display area 202-B, and includes "name, sex, age, medical record number, blood sample mode: whole blood, assay mode: CD. Department and diagnosis.
It should be noted that, the processor 101 may also cancel displaying the image display area and/or the feature display area in the analysis interface in response to a third operation instruction input by the user. The processor 101 may cancel the presentation image display area and/or the feature display area according to an operation instruction of the user. As shown in fig. 2, the processor 101 may cancel displaying the image display area 202-a or the feature display area 202-B according to the third operation instruction.
It should be noted that, a manner of generating the third operation instruction is similar to that of generating the first operation instruction, and the specific manner of generating the first operation instruction is already described above, and details thereof are not repeated here.
In one embodiment, the processor 101 is further configured to:
responding to a fourth operation instruction of the user, and adjusting the amplified blood cell sample image displayed in the image display area;
or the like, or, alternatively,
when the blood cell sample image includes at least two blood cell sample images, the enlarged blood cell sample image displayed in the image display area is switched.
In this embodiment, in order to facilitate the user to classify the blood cell sample image, the processor 101 may receive a fourth operation instruction from the user when the blood cell sample image is enlarged, and adjust the enlarged blood cell sample image displayed in the image display area, where the adjustment includes, but is not limited to, operations such as enlarging, reducing, translating, and rotating; in addition, when the blood cell sample pattern includes at least two blood cell sample patterns, the switching operation of the images can be performed under the condition that the blood cell sample image is enlarged, and one enlarged blood cell sample image can be switched to another enlarged blood cell sample image, so that the efficiency of classifying the blood cell sample image by the user is improved.
In one embodiment, the processor 101 may further generate a remark area in the analysis interface, and generate remark information corresponding to the blood cell sample image in the remark area in response to a fifth operation instruction of the user.
In this embodiment, the processor 101 may generate a remark area, for example, the area 203 in fig. 2, in the analysis interface, and the processor 101 may respond to a fifth operation instruction of the user to generate remark information corresponding to the blood cell sample image in the remark area; that is, after the processor 101 displays the enlarged blood cell sample image and the auxiliary classification information through the display screen 102, the user can input the remark information of the blood cell sample image in the remark area 203 in fig. 2.
It should be noted that, the manner of generating the fourth operation instruction and the fifth operation instruction is similar to the manner of generating the first operation instruction, and the specific manner of generating the first operation instruction is already described above, and details thereof are not repeated here.
Referring to fig. 3, fig. 3 is another schematic diagram of a sample analysis system 300 according to an embodiment of the present application, including:
a sample classification module 301, a memory 302, a processor 303, and a display screen 304;
the sample classification module 301 is configured to classify a blood cell sample image of an analysis object to obtain an initial classification result corresponding to the blood cell sample image;
the memory 302 is used for storing blood cell sample images and initial classification results;
the processor 303 is configured to obtain auxiliary classification information corresponding to the analysis object, where the auxiliary classification information includes at least one of blood general information of the analysis object, medical record information of the analysis object, attribute information of the analysis object, remark information corresponding to the analysis object, a sample picture corresponding to a reference classification, an initial classification probability corresponding to a blood cell sample image, and a classification condition. For example, the attribute information of the analysis target may be information such as height, weight, and blood pressure of the analysis target; the remark information corresponding to the analysis object can be remark information of medical staff on the blood cell sample image; the reference classified sample picture may be some blood cell classified sample pictures, for example, a sample picture corresponding to neutrophilic polymorphonuclear granulocytes; the initial classification probability of the blood cell sample image may be, for example, what type of cell the blood cell sample image has a probability of 80%, such as that the blood cell sample image has a probability of 80% belonging to neutrophilic granulocyte; classifying conditions; that is, the conditions to be satisfied when classifying the blood cell sample image, for example, what conditions to classify the cell into a certain type of cell, and what conditions to classify the cell, can be displayed in text.
The processor 303 is further configured to provide an analysis interface, and enable the blood cell sample image and the auxiliary classification information to be displayed on the analysis interface through the display screen 304; that is, after the processor 303 acquires the initial classification result corresponding to the blood cell sample image and the auxiliary classification information corresponding to the analysis object, the initial classification result corresponding to the blood cell sample image and the auxiliary classification information corresponding to the analysis object may be simultaneously displayed on the analysis interface through the display screen 304.
It can be understood that, the processor 303 displays the blood cell sample image and the auxiliary classification information on the analysis interface through the display screen 304, which means that the blood cell sample image and the auxiliary classification information are displayed on the analysis interface at a certain time, and may appear successively or simultaneously, in addition, when the processor 303 displays the blood cell sample image and the auxiliary classification information on the analysis interface through the display screen 304, the blood cell sample image and the auxiliary classification information may be displayed when an operation instruction of a user is received, or may be displayed after the blood cell sample image and the auxiliary classification information are obtained, which is not limited specifically.
The processor 303 is further configured to determine a target classification result corresponding to the blood cell sample image in response to a first operation instruction of a user; that is, after the processor 303 displays the blood cell sample image and the auxiliary classification information corresponding to the analysis object on the analysis interface through the display screen 304, the processor may receive a first operation instruction of the user, and determine the target classification result corresponding to the blood cell sample image in response to the first operation instruction of the user.
In one embodiment, the operation for generating the first operation instruction at least includes one of a gesture operation, a sliding operation, a clicking operation and a voice control operation, for example, when a user performs a clicking operation on the analysis interface, the processor may receive the clicking operation, and at this time, the clicking operation generates the first operation instruction, that is, an operation instruction may be defined in advance, for example, a sliding operation is defined in advance as an operation for generating the first operation instruction (e.g., a left-sliding operation, a right-sliding operation, a top-sliding operation, a bottom-sliding operation, etc.), or a clicking operation is defined as an operation for generating the first operation instruction (e.g., a double-click operation, a mouse-sliding operation, a long-pressing operation, a single-clicking operation, a simultaneous pressing operation of left and right mouse keys, a middle mouse button of a scroll wheel mouse, etc.), or a gesture operation is defined as an operation for generating the first operation instruction (e.g., a wrist or an arm is swung to the left, for example, the above is only an example and does not represent a limitation on the operation for generating the first operation instruction, and the voice control operation is defined as an operation for generating the first operation instruction (for example, a specific type of sound for classifying the blood cell sample image and for generating the blood cell sample image by the user is received). Of course, the first operation instruction may also be generated by setting a corresponding shortcut key on an input device, for example, the input device is a keyboard, and the "CTRL + a key" on the keyboard is set as an operation for generating the first operation instruction, which is not limited specifically.
In summary, it can be seen that, in the embodiment provided by the application, the processor can enable the blood cell sample image and the auxiliary classification information to be displayed on the analysis interface through the display screen, so that when the user reclassifies the blood cell sample image of the analysis object, the user can refer to the auxiliary classification information of the analysis object while checking the blood cell sample image, and the classification result is more accurate.
In one embodiment, the analysis interface includes a first analysis sub-interface, and the processor 303 is further configured to:
generating a first image display area for displaying a first blood cell sample image, a first feature display area for displaying auxiliary classification information and a result display area for displaying an initial classification result or a target classification result on a first analysis sub-interface, wherein the first blood cell sample image is at least one of the blood cell sample images;
the processor 303 is also configured to display a first image display area, a first feature display area, and a result display area via the display screen 304.
In this embodiment, the analysis interface includes a first analysis sub-interface, and the processor 303 may generate three display areas in the first analysis sub-interface: a first image display area for displaying the first blood cell sample image, a first feature display area for displaying the auxiliary classification information, and a result display area for displaying the initial classification result or the target classification result. Wherein the first blood cell sample image is at least one of blood cell sample images, and the processor 303 may further display a first image display area, a first feature display area, and a result display area through the display screen 304; that is, the processor 303 may display at least one blood cell sample image, the auxiliary classification information of the analysis object, and the initial classification result or the target classification result in different display areas of the first analysis sub-interface, where the display may be simultaneous or sequential, and is not limited specifically. It is understood that the result display area may display the initial classification result or the target classification result separately or simultaneously, where the simultaneous display refers to conditional simultaneous display, for example, in a normal state, the result display area displays the target classification result, and the processor 303 may display the initial classification result according to an operation instruction of a user, so as to facilitate the user to view the initial classification result and the target classification result simultaneously.
Referring to fig. 4, a first analysis sub-interface is described below with reference to fig. 4 by taking an example that the auxiliary classification information includes blood general information of an analysis object and medical record information of the analysis object, and please refer to fig. 4, fig. 4 is an interface schematic diagram of an analysis interface provided in an embodiment of the present application, where the analysis interface is a first analysis sub-interface, and the first analysis sub-interface includes:
a first feature display area 401, a first image display area 402, and a result display area 403;
the first feature display area 401 displays auxiliary classification information of the analysis object, the auxiliary classification information includes blood routine information and medical record information, and the 4011 area in the first feature display area 401 displays the medical record information of the analysis object, such as "gender: male, age: 24, department: radiotherapy department, diagnosis: pancreatic cancer "(of course, the medical record information of the analysis object may also include other information, such as name, medical record number, analysis mode, and the like, and is specifically limited), and the 4012 area in the first feature display area 401 displays the blood routine information of the analysis object, where the blood routine information includes red blood cell count (RBC), hemoglobin (Hb), White Blood Cell (WBC), white blood cell differential count (WBC), Platelet (PLT), and the like, and the blood routine information may be displayed in a table, for example, the blood routine result displayed in the 4012-a area includes a result corresponding to White Blood Cell (WBC), a result corresponding to red blood cell count (RBC), and a result corresponding to Platelet (PLT); the blood routine information can also be displayed graphically, such as a graph corresponding to red blood cell count (RBC) and a graph corresponding to Platelet (PLT) displayed in the 4012-B region; the result display area 403 displays the corresponding initial classification result of the blood cell sample image, where the initial classification result is shown as a table showing the counting information in the initial classification result, such as "the count of neutrophilic lobular nuclei granulocytes is 16, and the percentage is 23.88%; eosinophil count 18, percentage 26.87% ", etc. (it is understood that, when there is no target classification result, only the initial classification result is displayed in the result display area 303, and when there is a target classification result, the displayed content may be set according to the user's operation instruction, such as displaying the initial classification result or the target classification result, or displaying both);
the first image display area 402 displays blood cell sample images corresponding to the initial classification results, and the initial classification results of the blood cell sample images displayed in the first image display area 402 in fig. 4 include: neutrophils, pycnoclasts, allolymphocytes and eosinophils, wherein the neutrophils are displayed in the 402-A region, and the number of blood cell sample images in the classification is 16; the nuclear pyknosis is shown in the 402-B region, and the number of blood cell sample images in this classification is 7; the allolymphocytes are displayed in the 402-C region, and the number of blood cell sample images in the classification is 15; eosinophils were shown in area 402-D, and the number of blood cell sample images in this classification was 9.
In one embodiment, the processor 303 is further configured to:
receiving a second operation instruction of the user at the first analysis sub-interface;
and responding to the second operation instruction to generate a second analysis sub-interface.
In this embodiment, the processor 303 may receive a second operation instruction of the user at the first analysis sub-interface, and generate the second analysis sub-interface in response to the second operation instruction. It is understood that the second analysis sub-interface may be displayed in a floating manner with the first analysis sub-interface, or may be displayed on a separate page, which is not limited specifically.
It should be noted that, a manner of generating the second operation instruction is similar to that of generating the first operation instruction, and the specific manner of generating the first operation instruction is already described above, and details thereof are not repeated here.
In one embodiment, the processor 303 is further configured to:
generating a second image display area for displaying the amplified first blood cell sample image and a second characteristic display area for displaying auxiliary classification information on a second analysis sub-interface;
a second image display area and a second feature display area are displayed via the display screen 304.
In this embodiment, the processor 303 may further generate a second image display area for displaying the enlarged first blood cell sample image and a second feature display area for displaying the auxiliary classification information on the second analysis sub-interface; that is, the processor 303 may generate two regions at the second analysis sub-interface, wherein one region is used for displaying the amplified blood cell sample image and one region is used for displaying the auxiliary classification information. Wherein the second feature display area is disposed adjacent to the second image display area.
It should be noted that the processor 303 may also generate at least one information display area for displaying the auxiliary classification information in the second feature display area. It is to be understood that, here, the number of the at least one information display area generated is the same as the number of information included in the auxiliary classification information, for example, the auxiliary classification information includes blood condition information of the analysis object and medical record information of the analysis object, two information display areas are generated in the feature display area, one information display area displays the blood condition information of the analysis object, and one information display area displays the medical record information of the analysis object.
Referring to fig. 5, fig. 5 is another interface schematic diagram of an analysis interface provided in an embodiment of the present application, where the analysis interface is a second analysis sub-interface, the second analysis sub-interface is suspended in the first analysis sub-interface and displayed, and the auxiliary classification information includes blood general information of the analysis object and medical record information of the analysis object, and the second analysis sub-interface includes:
a second image display area 501 and a second feature display area 502;
the second image display area 501 displays a schematic diagram of the first blood cell sample image after being enlarged, and the second characteristic display area 502 comprises two information display areas, an information display area 502-a and an information display area 502-B;
the information display area 502-a displays blood routine information of an analysis object, such as a graph showing the blood routine information, a graph corresponding to red blood cell count (RBC), a graph corresponding to Platelet (PLT), and the like (of course, other forms can also be shown, and the graphs are used as an example and are not limited specifically);
medical record information of an analysis object is displayed in the information display area 502-B, such as patient information in the information display area 502-B in fig. 5, including "name, sex, age, medical record number, blood sample mode: whole blood, assay mode: CD. Department and diagnosis.
It should be noted that, the processor 303 may further display a second image display area and/or a second feature display area on the second analysis sub-interface in response to a third operation instruction input by the user;
and/or the presence of a gas in the gas,
and responding to a fourth operation instruction input by the user, and canceling to display the second image display area and/or the second characteristic display area on the second analysis sub-interface.
The processor 303 may present or cancel presentation of the second image display region and/or the second feature display region according to an operation instruction of the user. As shown in fig. 5, when the second analysis sub-interface only shows the second image display area 502-a or the second feature display area 502-B, the processor 303 displays the second image display area 502-a or the second feature display area 502-B according to a third operation instruction of the user, and cancels to display the second image display area 502-a or the second feature display area 502-B according to a fourth operation instruction; if the second analysis sub-interface simultaneously displays the second image display area 502-a and the second feature display area 502-B, the processor 303 displays the second image display area 502-a and the second feature display area 502-B according to a third operation instruction of the user, and cancels to display the second image display area 502-a and the second feature display area 502-B according to a fourth operation instruction.
It is understood that the third operation instruction may be the same operation instruction as the second operation instruction, or may be a different operation instruction; when the third operation instruction and the second operation instruction are the same operation instruction, when the second operation instruction is received, a second analysis sub-interface is displayed, and a second image display area and/or a second feature display area are/is displayed; when the third operation instruction and the second operation instruction are different instructions, only the second analysis sub-interface is displayed, and then the third operation instruction is received on the second analysis sub-interface to display the second image display area and/or the second feature display area.
It should be noted that, the manner of generating the third operation instruction and the fourth operation instruction is similar to the manner of generating the first operation instruction, and the specific manner of generating the first operation instruction is already described above, and details thereof are not repeated here.
In one embodiment, the processor 303 is further configured to:
responding to a fifth operation instruction of the user, and adjusting the amplified first blood cell sample image displayed in the second image display area;
or the like, or, alternatively,
and when the blood cell sample images corresponding to the initial classification result comprise at least two blood cell sample images, switching the first blood cell sample image displayed in the second image display area into a second blood cell sample image, wherein the second blood cell sample image is an enlarged image of the blood cell sample image except the first blood cell sample image in the blood cell sample image.
In this embodiment, in order to facilitate the user to reclassify the blood cell sample image, the processor 303 may receive a fifth operation instruction from the user when the blood cell sample image is enlarged, and adjust the enlarged first blood cell sample image displayed in the second image display area, where the adjustment includes, but is not limited to, performing operations such as enlarging, reducing, translating, or rotating the enlarged first blood cell sample image; in addition, when the blood cell sample images corresponding to the initial classification result include at least two blood cell sample images, the switching operation of the images can be performed under the condition that the blood cell sample images are amplified, one amplified blood cell sample image can be switched to the other amplified blood cell sample image, the blood cell sample images are not required to be returned to the first analysis sub-interface to be selected again according to the operation instruction of the user, and the efficiency of reclassifying the blood cell sample images by the user is improved.
In one embodiment, the processor 303 may further generate a remark area in the analysis interface, and generate remark information corresponding to the first blood cell sample image in the remark area in response to a sixth operation instruction of the user.
In this embodiment, the processor 303 may generate a remark area in the analysis interface, such as the area 404 in fig. 4 and the area 503 in fig. 5, and the processor 303 may respond to a sixth operation instruction of the user to generate remark information corresponding to the first blood cell sample image in the remark area; that is, after the processor 303 displays the first blood cell sample image and the auxiliary classification information through the display screen 304, the user may input the remark information of the first blood cell sample image in the remark area 404 in fig. 4 or the remark area 503 in fig. 5.
It should be noted that, the manner of generating the sixth operation instruction is similar to that of generating the first operation instruction, and the specific manner of generating the first operation instruction is already described above, and details thereof are not repeated here.
Referring to fig. 6, fig. 6 is another schematic diagram of a sample analysis system 600 according to an embodiment of the present application, the sample analysis system including:
a processor 601 and a display screen 602;
the processor 601 is configured to receive the blood cell sample image of the analysis object sent by the sample classification module, and it is understood that the sample classification module may send the blood cell sample image of the analysis object, or send the blood cell sample image and an initial classification result corresponding to the blood cell sample image together, which is not limited specifically as long as the processor 601 can receive the blood cell sample image of the analysis object;
the processor 601 is further configured to obtain auxiliary classification information corresponding to the analysis object, where the auxiliary classification information includes at least one of blood routine information of the analysis object, medical record information of the analysis object, attribute information of the analysis object, remark information corresponding to the analysis object, a sample picture corresponding to a reference classification, an initial classification probability corresponding to a blood cell sample image, and a classification condition. For example, the attribute information of the analysis target may be information such as height, weight, and blood pressure of the analysis target; the remark information corresponding to the analysis object can be remark information of medical staff on the blood cell sample image; the reference classified sample picture may be some blood cell classified sample pictures, for example, a sample picture corresponding to neutrophilic polymorphonuclear granulocytes; the initial classification probability of the blood cell sample image may be, for example, what type of cell the blood cell sample image has a probability of 80%, such as that the blood cell sample image has a probability of 80% belonging to neutrophilic granulocyte; classifying conditions; that is, if the conditions to be satisfied when classifying the blood cell sample image are satisfied, for example, what conditions to classify the cell into a certain type of cell can be displayed in a text manner;
the processor 601 is further configured to provide an analysis interface, and the blood cell sample image and the auxiliary classification information are displayed on the analysis interface through the 602 display screen. That is, after the processor 601 obtains the blood cell sample image and the auxiliary classification information corresponding to the analysis object, the blood cell sample image and the auxiliary classification information corresponding to the analysis object can be simultaneously displayed on the analysis interface through the display screen 602; it can be understood that, here, the processor 601 causes the blood cell sample image and the auxiliary classification information to be displayed on the analysis interface through the display screen 602, which means that the blood cell sample image and the auxiliary classification information are displayed on the analysis interface at a certain time, and may appear successively or simultaneously, in addition, when the processor 601 causes the blood cell sample image and the auxiliary classification information to be displayed on the analysis interface through the display screen 602, the blood cell sample image and the auxiliary classification information may be displayed when an operation instruction of a user is received, or may be displayed after the blood cell sample image and the auxiliary classification information are obtained, which is not particularly limited;
the processor 601 is further configured to determine a target classification result corresponding to the blood cell sample image in response to a first operation instruction of a user on the analysis interface. After the processor 601 displays the received blood cell sample image of the analysis object and the auxiliary classification information corresponding to the analysis object on the analysis interface through the display screen 602, a first operation instruction of a user may be received, and a target classification result corresponding to the blood cell sample image is determined in response to the first operation instruction of the user.
In an embodiment, the operation for generating the first operation instruction at least includes one of a gesture operation, a sliding operation, a clicking operation, and a voice control operation, for example, when a user performs a clicking operation on an analysis interface, the processor may receive the clicking operation, and at this time, the clicking operation generates the first operation instruction; that is, the operation instruction may be defined in advance, for example, a sliding operation is defined in advance as an operation for generating a first operation instruction (e.g., a left-sliding operation, a right-sliding operation, a top-sliding operation, a bottom-sliding operation, etc.), a clicking operation is defined as an operation for generating a first operation instruction (e.g., a double-click operation, a mouse-sliding operation, a long-pressing operation, a clicking operation, a simultaneous pressing operation of left and right mouse keys, and a middle mouse roller key, etc.), a gesture operation is defined as an operation for generating a first operation instruction (e.g., a wrist or arm is swung to the left, a wrist or arm is swung to the right, a four-finger pinch operation, or a three-finger top-sliding operation, etc.), or a voice control operation is defined as an operation for generating a first operation instruction (e.g., a specific type of blood cell sample image classified and blood cell sample image received by a user), which are only for example, and is not intended to limit the operation of generating the first operation instruction. Of course, the first operation instruction may also be generated by setting a corresponding shortcut key on an input device, for example, the input device is a keyboard, and the "CTRL + a key" on the keyboard is set as an operation for generating the first operation instruction, which is not limited specifically.
In summary, it can be seen that, in the embodiment provided by the application, the processor can enable the blood cell sample image and the auxiliary classification information to be displayed on the analysis interface through the display screen, so that when the user reclassifies the blood cell sample image of the analysis object, the user can refer to the auxiliary classification information of the analysis object while checking the blood cell sample image, and the classification result is more accurate.
In one embodiment, the analysis interface includes a first analysis sub-interface, and the processor 601 is further configured to:
generating a first image display area for displaying a first blood cell sample image and a first feature display area for displaying auxiliary classification information on a first analysis sub-interface, wherein the first blood cell sample image is at least one of the blood cell sample images;
the processor 601 is further configured to display a first image display area and a first feature display area via the display screen 602.
In this embodiment, the analysis interface includes a first analysis sub-interface, and the processor 601 may generate two display regions in the first analysis sub-interface: one is a first image display area for displaying the first blood cell sample image, and the other is a first feature display area for displaying the auxiliary classification information. Wherein the first blood cell sample image is at least one of blood cell sample images, and the processor 601 may further display a first image display area and a first feature display area through the display screen 602; that is, the processor 601 may display at least one blood cell sample image and the auxiliary classification information of the analysis object in different display areas of the first analysis sub-interface, where the display may occur simultaneously or sequentially, and is not limited specifically. It is understood that, when the content transmitted by the sample analysis module includes an initial classification result corresponding to the blood cell sample image in addition to the blood cell sample image, a result display area for displaying the initial classification result may also be included in the first analysis sub-interface.
The first analysis sub-interface will be described with reference to fig. 7, taking as an example that the sample analysis module transmits the blood cell sample image and also transmits the initial classification result corresponding to the blood cell sample image. Referring to fig. 7, fig. 7 is an interface schematic diagram of an analysis interface provided in the present application, where the analysis interface is a first analysis sub-interface, and the first analysis sub-interface includes:
a first feature display area 701, a first image display area 702, and a result display area 703;
the first feature display area 701 displays auxiliary classification information of an analysis object, the auxiliary classification information includes blood routine information and medical record information, and the 7011 area in the first feature display area 701 displays the medical record information of the analysis object, such as "gender: male, age: 24, department: radiotherapy department, diagnosis: pancreatic cancer "(of course, the medical record information of the analysis object may also include other information, such as name, medical record number, analysis mode, and the like, and is specifically limited), and the 7012 area in the first feature display area 701 displays the blood routine information of the analysis object, where the blood routine information includes red blood cell count (RBC), hemoglobin (Hb), White Blood Cell (WBC), white blood cell classification count (WBC), Platelet (PLT), and the like, and the blood routine information may be displayed in a table, for example, the blood routine result displayed in the 7012-a area includes a result corresponding to White Blood Cell (WBC), a result corresponding to red blood cell count (RBC), and a result corresponding to Platelet (PLT); the blood routine information can also be displayed graphically, such as a graph corresponding to red blood cell count (RBC) and a graph corresponding to Platelet (PLT) displayed in the 7012-B region; the result display area 703 displays the corresponding initial classification result of the blood cell sample image, where the initial classification result displays the counting information in the initial classification result by a table, such as "the count of neutrophilic lobular nuclei granulocytes is 16, the percentage is 23.88%; eosinophil count 18, percentage 26.87% ", etc. (it is understood that, when there is no target classification result, only the initial classification result is displayed in the result display area 303, and when there is a target classification result, the displayed content may be set according to the user's operation instruction, such as displaying the initial classification result or the target classification result, or displaying both);
the first image display area 702 displays the first blood cell sample images corresponding to the initial classification results, and the initial classification results of the blood cell sample images displayed in the first image display area 702 in fig. 7 include: neutrophils, nuclear pycnogenicity, allolymphocytes and eosinophils, wherein the neutrophils are displayed in the 702-A region, and the number of blood cell sample images in the classification is 16; the nuclear pyknosis is shown in the 702-B region, and the number of blood cell sample images in this classification is 7; the allolymphocytes are shown in the 702-C region, and the number of blood cell sample images in the classification is 15; eosinophils were shown in the 702-D region, and the number of blood cell sample images in this classification was 9.
In one embodiment, the processor 601 is further configured to:
receiving a second operation instruction of the user at the first analysis sub-interface;
and responding to the second operation instruction to generate a second analysis sub-interface.
In this embodiment, the processor 601 may receive a second operation instruction of the user at the first analysis sub-interface, and generate the second analysis sub-interface in response to the second operation instruction. It is understood that the second analysis sub-interface may be displayed in a floating manner with the first analysis sub-interface, or may be displayed on a separate page without limitation.
It should be noted that, a manner of generating the second operation instruction is similar to that of generating the first operation instruction, and the specific manner of generating the first operation instruction is already described above, and details thereof are not repeated here.
In one embodiment, the processor 601 is further configured to:
generating a second image display area for displaying the amplified first blood cell sample image and a second characteristic display area for displaying auxiliary classification information on a second analysis sub-interface;
a second image display area and a second feature display area are displayed via the display screen 602.
In this embodiment, the processor 601 may further generate a second image display area for displaying the enlarged first blood cell sample image and a second feature display area for displaying the auxiliary classification information on the second analysis sub-interface; that is, the processor 601 may generate two regions at the second analysis sub-interface, wherein one region is used for displaying the amplified blood cell sample image and the other region is used for displaying the auxiliary classification information. Wherein the second feature display area is disposed adjacent to the second image display area.
It should be noted that the processor 601 may further generate at least one information display area for displaying the auxiliary classification information in the second feature display area; that is, if at least one information display region is generated in the same number as the number of information included in the auxiliary classification information, for example, the auxiliary classification information includes blood general information of the analysis target and medical record information of the analysis target, two information display regions are generated in the feature display region, one information display region displays the blood general information of the analysis target, and the other information display region displays the medical record information of the analysis target.
Referring to fig. 8, fig. 8 is another interface schematic diagram of an analysis interface provided in an embodiment of the present application, where the analysis interface is a second analysis sub-interface, the second analysis sub-interface is suspended in the first analysis sub-interface and displayed, and the auxiliary classification information includes blood general information of the analysis object and medical record information of the analysis object, and the second analysis sub-interface includes:
a second image display area 801 and a second feature display area 802;
the second image display area 801 displays a schematic diagram of the first blood cell sample image after being enlarged, and the second characteristic display area 802 includes two information display areas, an information display area 802-a and an information display area 802-B;
the information display area 802-a displays blood routine information of an analysis object, such as a graph showing the blood routine information, a graph corresponding to red blood cell count (RBC), a graph corresponding to Platelet (PLT), and the like (of course, other forms can also be shown, and the graphs are used as an example and are not limited specifically);
medical record information of an analysis object is displayed in the information display area 802-B, such as patient information in the information display area 802-B in fig. 8, including "name, sex, age, medical record number, blood sample mode: whole blood, assay mode: CD. Department and diagnosis.
It should be noted that, the processor 601 may further respond to a third operation instruction input by the user, and display a second image display area and/or a second feature display area on the second analysis sub-interface;
and/or the presence of a gas in the gas,
and responding to a fourth operation instruction input by the user, and canceling to display the second image display area and/or the second characteristic display area on the second analysis sub-interface.
The processor 601 may present or cancel presentation of the second image display area and/or the second feature display area according to an operation instruction of the user. It can be understood that the third operation instruction may be the same operation instruction as the second operation instruction, or may be a different operation instruction, and when the third operation instruction and the second operation instruction are the same operation instruction, and when the second operation instruction is received, the second analysis sub-interface is displayed, and at the same time, the second image display area and/or the second feature display area is displayed; when the third operation instruction and the second operation instruction are different instructions, only the second analysis sub-interface is displayed, and then the third operation instruction is received on the second analysis sub-interface to display the second image display area and/or the second feature display area.
It should be noted that, the manner of generating the third operation instruction and the fourth operation instruction is similar to the manner of generating the first operation instruction, and the specific manner of generating the first operation instruction is already described above, and details thereof are not repeated here.
In one embodiment, the processor 601 is further configured to:
responding to a fifth operation instruction of the user, and adjusting the amplified first blood cell sample image displayed in the second image display area;
or the like, or, alternatively,
and when the blood cell sample images corresponding to the initial classification result comprise at least two blood cell sample images, switching the first blood cell sample image displayed in the second image display area into a second blood cell sample image, wherein the second blood cell sample image is an enlarged image of the blood cell sample image except the first blood cell sample image in the blood cell sample image.
In this embodiment, in order to facilitate the user to reclassify the blood cell sample image, the processor 601 may receive a fifth operation instruction from the user when the blood cell sample image is enlarged, and adjust the enlarged first blood cell sample image displayed in the second image display area, where the adjustment includes, but is not limited to, performing operations such as enlarging, reducing, translating, or rotating the enlarged first blood cell sample image; in addition, when the blood cell sample images corresponding to the initial classification result include at least two blood cell sample images, the switching operation of the images can be performed under the condition that the blood cell sample images are amplified, one amplified blood cell sample image can be switched to the other amplified blood cell sample image, the blood cell sample images are not required to be returned to the first analysis sub-interface to be selected again according to the operation instruction of the user, and the efficiency of reclassifying the blood cell sample images by the user is improved.
In one embodiment, the processor 601 may further generate a remark area in the analysis interface, and generate remark information corresponding to the first blood cell sample image in the remark area in response to a sixth operation instruction of the user.
In this embodiment, the processor 601 may generate a remark area in the analysis interface, such as the area 704 in fig. 7 and the area 803 in fig. 8, and the processor 601 may respond to a sixth operation instruction of the user to generate remark information corresponding to the first blood cell sample image in the remark area; that is, after the processor 601 displays the first blood cell sample image and the auxiliary classification information through the display 602, the user may input the remark information of the first blood cell sample image in the remark area 704 in fig. 7 or the remark area 803 in fig. 8.
It should be noted that, the manner of generating the sixth operation instruction is similar to that of generating the first operation instruction, and the specific manner of generating the first operation instruction is already described above, and details thereof are not repeated here.
The present application is described above in terms of a sample analysis system, and the present application is described below in terms of a sample analysis method.
Referring to fig. 9, fig. 9 is a schematic flow chart of a sample analysis method according to an embodiment of the present application, including:
901. an image of a blood cell sample of an analysis subject is received.
In this embodiment, the processor may receive a blood cell sample image of an analysis object, where the blood cell sample image may be sent by a sample analysis module (that is, a blood reader), or may be sent by a medical worker through software, and in addition, when the blood cell sample image is sent by the sample analysis module, the blood cell sample image of the analysis object may be sent alone, or may be sent together with an initial classification result corresponding to the blood cell sample image, and the specific limitation is not limited as long as the processor 101 may receive the blood cell sample image of the analysis object.
902. And acquiring auxiliary classification information corresponding to the analysis object.
In this embodiment, the processor may obtain auxiliary classification information corresponding to the analysis object, where the auxiliary classification information includes at least one of blood general information of the analysis object, medical record information of the analysis object, attribute information of the analysis object, remark information corresponding to the analysis object, a sample picture corresponding to a reference classification, an initial classification probability corresponding to a blood cell sample image, and a classification condition. For example, the attribute information of the analysis target may be information such as height, weight, and blood pressure of the analysis target; the remark information corresponding to the analysis object can be remark information of medical staff on the blood cell sample image; the reference classified sample picture may be some blood cell classified sample pictures, for example, a sample picture corresponding to neutrophilic polymorphonuclear granulocytes; the initial classification probability of the blood cell sample image may be, for example, what type of cell the blood cell sample image has a probability of 80%, such as that the blood cell sample image has a probability of 80% belonging to neutrophilic granulocyte; classifying conditions; that is, the conditions to be satisfied when classifying the blood cell sample image, for example, what conditions to classify the cell into a certain type of cell, and what conditions to classify the cell, can be displayed in text.
903. The blood cell sample image is displayed on the analysis interface.
In this embodiment, after the processor acquires the blood cell sample image, the blood cell sample image may be displayed on the analysis interface.
It should be noted that the auxiliary classification information of the analysis object may be acquired in step 902, and the blood cell sample image may be displayed on the analysis interface in step 903, however, there is no sequential execution order limitation between these two steps, and step 901 may be executed first, step 902 may be executed first, or step 902 may be executed at the same time, which is not limited specifically.
904. Receiving a first operation instruction of a user, amplifying the blood cell sample image, displaying the amplified blood cell sample image on an analysis interface, and displaying auxiliary classification information around the amplified blood cell sample image.
In this embodiment, after acquiring auxiliary classification information corresponding to an analysis object and displaying a blood cell sample image on an analysis interface, a processor may receive a first operation instruction of a user, where the first operation instruction is to display the blood cell sample image on the analysis interface after being amplified, and display the auxiliary classification information of the analysis object around the amplified blood cell sample image; it can be understood that, the processor receives the first operation instruction of the user, enlarges the blood cell sample image and displays the enlarged blood cell sample image on the analysis interface, and displays the auxiliary classification information around the enlarged blood cell sample image, which means that after receiving the first operation instruction of the user, the enlarged blood cell sample image and the auxiliary classification information are both displayed on the analysis interface, and may appear sequentially or simultaneously, and the details are not limited.
In an embodiment, the operation for generating the first operation instruction at least includes one of a gesture operation, a sliding operation, a clicking operation, and a voice control operation, for example, when a user performs a clicking operation on an analysis interface, the processor may receive the clicking operation, and at this time, the clicking operation generates the first operation instruction; that is, the operation instruction may be defined in advance, for example, a slide operation (e.g., a left slide operation, a right slide operation, a top slide operation, a bottom slide operation, etc.) for displaying the blood cell sample image on the analysis interface after being enlarged and displaying the auxiliary classification information around the enlarged blood cell sample image, a click operation (e.g., a double-click operation, a mouse slide operation, a long-press operation, a single-click operation, a simultaneous pressing operation of left and right mouse buttons, a middle roller mouse button, etc.) for displaying the blood cell sample image on the analysis interface after being enlarged and displaying the auxiliary classification information around the enlarged blood cell sample image (e.g., a left-hand wrist or arm, for example, the operation of swinging the wrist or arm to the right, such as a four-finger pinch operation or a three-finger slide-up operation, etc.), or defining the voice control operation as an operation of displaying the blood cell sample image after being enlarged on the analysis interface and displaying the auxiliary classification information around the enlarged blood cell sample image (such as receiving the sound of the enlarged blood cell sample image and displaying the auxiliary classification information around the enlarged blood cell sample image), which are merely examples and do not represent a limitation on the operation of generating the first operation instruction. Of course, the first operation instruction may also be generated by setting a corresponding shortcut key on an input device, for example, the input device is a keyboard, and the "CTRL + a key" on the keyboard is set as an operation of displaying the blood cell sample image on the analysis interface after being enlarged, and displaying the auxiliary classification information around the enlarged blood cell sample image, which is not limited in particular.
905. And responding to a second operation instruction of the user on the analysis interface, and determining a target classification result corresponding to the blood cell sample image.
In this embodiment, after the amplified blood cell sample image and the auxiliary classification information corresponding to the analysis object are displayed on the analysis interface, the processor may receive a second operation instruction of the user, and determine a target classification result corresponding to the blood cell sample image in response to the second operation instruction of the user. That is, the processor displays the amplified blood cell sample image and the auxiliary classification information corresponding to the analysis object on the analysis interface, after the user sees the blood cell sample image and the auxiliary classification information corresponding to the analysis object, the user can determine what classification the blood cell sample image belongs to according to the blood cell sample image and the auxiliary classification information corresponding to the analysis object, and then operates the display screen, at this time, the processor responds to a second operation instruction of the user to determine a target classification result corresponding to the blood cell sample image.
It should be noted that the manner of generating the second operation instruction is similar to the manner of generating the first operation instruction, and the manner of generating the first operation instruction has been described in detail above, and is not described herein again in detail.
In summary, it can be seen that, in the embodiment provided by the application, the processor may display the amplified blood cell sample image and the auxiliary classification information of the analysis object on the analysis interface through the display screen, so that when the user classifies the blood cell sample image of the analysis object, the amplified blood cell sample image is displayed, so that the user may observe more details of the blood cell sample image, and the auxiliary classification information of the analysis object may be referred to, so that the classification result is more accurate.
Referring to fig. 10, fig. 10 is a schematic flow chart of a sample analysis method according to an embodiment of the present application, including:
1001. and acquiring an initial classification result corresponding to the blood cell sample image of the analysis object.
In this embodiment, the processor may obtain an initial classification result corresponding to the blood cell sample image of the analysis object from the memory. That is, when the blood cell sample image of the analysis object needs to be re-classified, the sample classification module may initially classify the blood cell sample object of the analysis object to obtain an initial classification result, and then store the initial classification result in the memory, and then the processor may obtain the initial classification result corresponding to the blood cell sample image of the analysis object.
1002. And acquiring auxiliary classification information of the analysis object.
In this embodiment, the processor may obtain auxiliary classification information of the analysis object. The auxiliary classification information includes at least one of blood routine information of the analysis object, medical record information of the analysis object, attribute information of the analysis object, remark information corresponding to the analysis object, a sample picture corresponding to the reference classification, an initial classification probability corresponding to the blood cell sample image, and a classification condition. For example, the attribute information of the analysis target may be information such as height, weight, and blood pressure of the analysis target; the remark information corresponding to the analysis object can be remark information of medical staff on the blood cell sample image; the reference classified sample picture may be some blood cell classified sample pictures, for example, a sample picture corresponding to neutrophilic polymorphonuclear granulocytes; the initial classification probability of the blood cell sample image may be, for example, what type of cell the blood cell sample image has a probability of 80%, such as that the blood cell sample image has a probability of 80% belonging to neutrophilic granulocyte; classifying conditions; that is, the conditions to be satisfied when classifying the blood cell sample image, for example, what conditions to classify the cell into a certain type of cell, and what conditions to classify the cell, can be displayed in text.
It should be noted that, the processor may obtain the initial classification result corresponding to the blood cell sample image of the analysis object through step 1001, and may obtain the auxiliary classification information corresponding to the analysis object through step 1002, however, the two steps are not limited by the execution sequence, and may execute step 1001 first, or execute step 1002 simultaneously, which is not limited specifically.
1003. And displaying the blood cell sample image and the auxiliary classification information on an analysis interface.
In this embodiment, the processor may provide an analysis interface, and display both the blood cell sample image and the auxiliary classification information on the analysis interface. It can be understood that, the process of displaying the blood cell sample image and the auxiliary classification information on the analysis interface means that the blood cell sample image and the auxiliary classification information are both displayed on the analysis interface at a certain moment, and may appear successively or simultaneously, in addition, when the process of displaying the blood cell sample image and the auxiliary classification information on the analysis interface, the process of displaying the blood cell sample image and the auxiliary classification information may display the blood cell sample image and the auxiliary classification information when receiving an operation instruction of a user, or display the blood cell sample image and the auxiliary classification information after obtaining the blood cell sample image and the auxiliary classification information, which is not particularly limited;
1004. and determining a target classification result corresponding to the blood cell sample image in response to a first operation instruction of a user.
In this embodiment, the processor is further configured to determine a target classification result corresponding to the blood cell sample image in response to a first operation instruction of a user; that is, after the processor displays the blood cell sample image and the auxiliary classification information corresponding to the analysis object on the analysis interface, after the user sees the blood cell sample image and the auxiliary classification information corresponding to the analysis object, the user can determine what classification the blood cell sample image belongs to according to the blood cell sample image and the auxiliary classification information corresponding to the analysis object, and then operates the display screen.
In one embodiment, the operation for generating the first operation instruction at least includes one of a gesture operation, a sliding operation, a clicking operation and a voice control operation, for example, when a user performs a clicking operation on the analysis interface, the processor may receive the clicking operation, and at this time, the clicking operation generates the first operation instruction, that is, an operation instruction may be defined in advance, for example, a sliding operation is defined in advance as an operation for generating the first operation instruction (e.g., a left-sliding operation, a right-sliding operation, a top-sliding operation, a bottom-sliding operation, etc.), or a clicking operation is defined as an operation for generating the first operation instruction (e.g., a double-click operation, a mouse-sliding operation, a long-pressing operation, a single-clicking operation, a simultaneous pressing operation of left and right mouse keys, a middle mouse button of a scroll wheel mouse, etc.), or a gesture operation is defined as an operation for generating the first operation instruction (e.g., a wrist or an arm is swung to the left, for example, the operation of swinging the wrist or arm to the right, such as a four-finger pinch operation or a three-finger slide-up operation, etc.), or defining the voice control operation as the operation of generating the first operation instruction (such as receiving the classification of the blood cell sample image by the user and the specific type of the blood cell sample image), which are only for illustration and are not meant to limit the operation of generating the first operation instruction. Of course, the first operation instruction may also be generated by setting a corresponding shortcut key on an input device, for example, the input device is a keyboard, and the "CTRL + a key" on the keyboard is set as an operation for generating the first operation instruction, which is not limited specifically.
In one embodiment, the analysis interface includes a first analysis sub-interface, and the processor simultaneously presenting the image of the cell sample and the ancillary classification information at the analysis interface includes:
generating a first image display area for displaying a first blood cell sample image, a first feature display area for displaying auxiliary classification information and a result display area for displaying an initial classification result or a target classification result on a first analysis sub-interface, wherein the first blood cell sample image is at least one of the blood cell sample images;
and displaying the first image display area, the first characteristic display area and the result display area on the first analysis sub-interface.
In this embodiment, the processor may generate three display regions on the first analysis sub-interface: a first image display area for displaying the first blood cell sample image, a first feature display area for displaying the auxiliary classification information, and a result display area for displaying the initial classification result or the target classification result. The processor displays a first image display area, a first characteristic display area and a result display area on a first analysis sub-interface. That is, the processor may display at least one blood cell sample image, the auxiliary classification information of the analysis object, and the initial classification result or the target classification result in different display areas of the first analysis sub-interface, where the display may occur simultaneously or sequentially, and is not limited specifically. It can be understood that the result display area displays the initial classification result or the target classification result separately, or simultaneously, where the simultaneous display refers to conditional simultaneous display, for example, in a normal state, the result display area displays the target classification result, and the processor can display the initial classification result according to an operation instruction of a user, so as to facilitate the user to view the initial classification result and the target classification result simultaneously. The first analysis sub-interface is already described in detail with reference to fig. 4, and details thereof are not repeated here.
In one embodiment, the processor is further configured to:
receiving a second operation instruction of the user at the first analysis sub-interface;
and generating a second analysis sub-interface in response to the second operation instruction, wherein the second analysis sub-interface comprises a second image display area for displaying the amplified first blood cell sample image and a second feature display area for displaying auxiliary classification information.
In this embodiment, the processor may receive a second operation instruction of the user at the first analysis sub-interface, and generate a second analysis sub-interface in response to the second operation instruction, where the second analysis sub-interface includes a second image display area for displaying the enlarged first blood cell sample image and a second feature display area for displaying the auxiliary classification information; that is, the processor may generate two regions at the second analysis sub-interface, one for displaying the enlarged blood cell sample image and one for displaying the auxiliary classification information, wherein the second feature display region is disposed adjacent to the second image display region. The second analysis sub-interface may be displayed in a suspended state in the first analysis sub-interface, or may be displayed on a separate page, which is not limited specifically.
It should be noted that, a manner of generating the second operation instruction is similar to that of generating the first operation instruction, and the specific manner of generating the first operation instruction is already described above, and details thereof are not repeated here. In addition, the second analysis sub-interface is already described in detail with reference to fig. 5, and is not described herein again.
In one embodiment, the processor is further configured to:
responding to a fifth operation instruction of the user, and adjusting the amplified first blood cell sample image displayed in the second image display area;
or the like, or, alternatively,
and when the blood cell sample images corresponding to the initial classification result comprise at least two blood cell sample images, switching the first blood cell sample image displayed in the second image display area into a second blood cell sample image, wherein the second blood cell sample image is an enlarged image of the blood cell sample image except the first blood cell sample image in the blood cell sample image.
In this embodiment, in order to facilitate the user to reclassify the blood cell sample image, the processor may receive a fifth operation instruction from the user when the blood cell sample image is enlarged, and adjust the enlarged first blood cell sample image displayed in the second image display area, where the adjustment includes, but is not limited to, performing operations such as enlarging, reducing, translating, or rotating the enlarged first blood cell sample image; in addition, when the blood cell sample images corresponding to the initial classification result include at least two blood cell sample images, the switching operation of the images can be performed under the condition that the blood cell sample images are amplified, one amplified blood cell sample image can be switched to the other amplified blood cell sample image, the blood cell sample images are not required to be returned to the first analysis sub-interface to be selected again according to the operation instruction of the user, and the efficiency of reclassifying the blood cell sample images by the user is improved.
In one embodiment, the processor may further generate a remark area in the analysis interface, and generate remark information corresponding to the first blood cell sample image in the remark area in response to a sixth operation instruction of the user.
In this embodiment, the processor may generate a remark area in the analysis interface, such as the area 404 in fig. 4 and the area 503 in fig. 5, and the processor may respond to a sixth operation instruction of the user to generate remark information corresponding to the first blood cell sample image in the remark area; that is, after the processor displays the first blood cell sample image and the auxiliary classification information through the display screen, the user may input the remark information of the first blood cell sample image in the remark area 404 in fig. 4 or the remark area 503 in fig. 5.
It should be noted that, the manner of generating the fifth operation instruction and the sixth operation instruction is similar to the manner of generating the first operation instruction, and the specific manner of generating the first operation instruction is already described above, and details thereof are not repeated here.
In summary, it can be seen that, in the embodiment provided by the application, the processor can enable the blood cell sample image and the auxiliary classification information to be displayed on the analysis interface through the display screen, so that when the user re-classifies the blood cell sample image of the analysis object, the user can refer to the auxiliary classification information of the analysis object, and the classification result is more accurate.
Referring to fig. 11, fig. 11 is another schematic flow chart of a sample analysis method according to an embodiment of the present application, including:
1101. and receiving the blood cell sample image of the analysis object sent by the sample classification module.
In this embodiment, the processor may receive the blood cell sample image of the analysis object sent by the sample classification module, and it is understood that the sample classification module may send the blood cell sample image of the analysis object, or may send the blood cell sample image and the initial classification result corresponding to the blood cell sample image together, which is not limited specifically, as long as the processor can receive the blood cell sample image of the analysis object.
1102. And acquiring auxiliary classification information corresponding to the analysis object.
In this embodiment, the processor may obtain auxiliary classification information corresponding to the analysis object, where the auxiliary classification information includes at least one of blood general information of the analysis object, medical record information of the analysis object, attribute information of the analysis object, remark information corresponding to the analysis object, a sample picture corresponding to a reference classification, an initial classification probability corresponding to a blood cell sample image, and a classification condition. For example, the attribute information of the analysis target may be information such as height, weight, and blood pressure of the analysis target; the remark information corresponding to the analysis object can be remark information of medical staff on the blood cell sample image; the reference classified sample picture may be some blood cell classified sample pictures, for example, a sample picture corresponding to neutrophilic polymorphonuclear granulocytes; the initial classification probability of the blood cell sample image may be, for example, what type of cell the blood cell sample image has a probability of 80%, such as that the blood cell sample image has a probability of 80% belonging to neutrophilic granulocyte; classifying conditions; that is, if the conditions to be satisfied when classifying the blood cell sample image are satisfied, for example, what conditions to classify the cell into a certain type of cell can be displayed in a text manner;
it should be noted that, the processor may receive the blood cell sample image of the analysis object sent by the sample analysis module through step 1101, and may obtain the auxiliary classification information corresponding to the analysis object through step 1102, however, there is no sequential execution order limitation between these two steps, and step 1101 may be executed first, or step 1102 may be executed first, or executed simultaneously, which is not limited specifically.
1103. And displaying the blood cell sample image and the auxiliary classification information on an analysis interface.
In this embodiment, after obtaining the blood cell sample image and the auxiliary classification information, the processor may display both the blood cell sample image and the auxiliary classification information on the analysis interface. That is, after the processor acquires the blood cell sample image and the auxiliary classification information corresponding to the analysis object, the blood cell sample image and the auxiliary classification information corresponding to the analysis object can be simultaneously displayed on the analysis interface through the display screen; it can be understood that, here, the processor causes the blood cell sample image and the auxiliary classification information to be displayed on the analysis interface through the display screen, which means that the blood cell sample image and the auxiliary classification information are displayed on the analysis interface at a certain moment, and may appear successively or simultaneously.
1104. And determining a target classification result corresponding to the blood cell sample image in response to a first operation instruction of a user on the analysis interface.
In this embodiment, when the processor displays the received blood cell sample image of the analysis object and the auxiliary classification information corresponding to the analysis object on the analysis interface through the display screen, after the user sees the blood cell sample image and the auxiliary classification information corresponding to the analysis object, the user can determine what classification the blood cell sample image belongs to according to the blood cell sample image and the auxiliary classification information corresponding to the analysis object, and then operates the display screen, at this time, the processor responds to a first operation instruction of the user to determine a target classification result corresponding to the blood cell sample image.
In an embodiment, the operation for generating the first operation instruction at least includes one of a gesture operation, a sliding operation, a clicking operation, and a voice control operation, for example, when a user performs a clicking operation on an analysis interface, the processor may receive the clicking operation, and at this time, the clicking operation generates the first operation instruction; that is, the operation instruction may be defined in advance, for example, a sliding operation is defined in advance as an operation for generating a first operation instruction (e.g., a left-sliding operation, a right-sliding operation, a slide-up operation, a slide-down operation, etc.), or a clicking operation is defined as an operation for generating a first operation instruction (e.g., a double-click operation, a mouse-sliding operation, a long-press operation, a single-click operation, a simultaneous left-right mouse button pressing operation, and a middle roller mouse button, etc.), or a gesture operation is defined as an operation for generating a first operation instruction (e.g., a wrist or arm is swung to the left, a wrist or arm is swung to the right, a wrist or arm is swung, e.g., a four-finger pinch operation or a three-finger slide-up operation, etc.), or a voice control operation is defined as an operation for displaying the image display region and/or the feature display region (e.g., a specific type of the blood cell sample image is received from the user), the above description is merely an example, and does not represent a limitation on the operation of generating the first operation instruction. Of course, the first operation instruction may also be generated by setting a corresponding shortcut key on an input device, for example, the input device is a keyboard, and the "CTRL + a key" on the keyboard is set as an operation for generating the first operation instruction, which is not limited specifically.
It should be noted that the analysis interface here is similar to the analysis interface shown in fig. 7 and 8, and the analysis interface is already described in detail with reference to fig. 7 and 8, and detailed description thereof is omitted here.
In summary, it can be seen that, in the embodiment provided by the application, the processor can enable the blood cell sample image and the auxiliary classification information to be displayed on the analysis interface through the display screen, so that when the user reclassifies the blood cell sample image of the analysis object, the user can refer to the auxiliary classification information of the analysis object while checking the blood cell sample image, and the classification result is more accurate.
Embodiments of the present application also provide a computer storage medium for storing computer software instructions for the aforementioned information processing apparatus and switch, which includes a program designed for executing a processor.
The present application also provides a computer program product, which includes computer software instructions that can be loaded by a processor to implement the method flows in the embodiments shown in fig. 9 to fig. 11.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the sample analysis method described above may refer to the corresponding description in the embodiment of the sample analysis system, and is not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
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