CN110909646A - Method, device, computer equipment and storage medium for collecting digital pathological slice images - Google Patents
Method, device, computer equipment and storage medium for collecting digital pathological slice images Download PDFInfo
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Abstract
The application relates to a method for acquiring a digital pathological section image, which comprises the following steps: acquiring a video image of a pathological section acquired in real time, wherein the video image is an image of the pathological section presented under a microscope; performing identification analysis on the video image, and determining the position of a target to be identified in the video image; adjusting the microscope in real time according to the position of the target to be recognized in the video image, and acquiring a video image acquired by adjusting the microscope in real time; carrying out type marking on collected video images according to a target to be identified, wherein the number of the video images is multiple; and compressing the acquired video image according to the type label to obtain a compressed digital pathological section image. According to the digital pathological section image compression method and device, the collected video images are compressed, the compressed digital pathological section images are obtained, and the storage space occupied by the digital pathological section images can be reduced. In addition, the application also provides an acquisition device, computer equipment and a storage medium for the digital pathological section image.
Description
Technical Field
The invention relates to the field of medicine, in particular to a method and a device for acquiring a digital pathological section image, computer equipment and a storage medium.
Background
The invention of the optical microscope promotes the development of the medical microscopic world, and the observation mode under the microscope in modern pathology becomes an important means for clinical diagnosis of diseases, especially for the accurate diagnosis of tumor patients and difficult pathology. For the current digital pathological mode, a digital pathological section scanner generates a WSI (panoramic digital pathological image) mode as a main mode, and a part of the mode is an AR microscope or other modes. The former two methods are often due to the problems of expensive instrument and equipment, large local storage space, complex operation steps, large occupied and idle calculation resources and serious and insufficient utilization rate. Finally, the cost is high, and the wide-range application and popularization cannot be carried out or is difficult to carry out. No matter in a WSI mode or an AR microscope mode, the current operation cannot realize the remote operation of personnel, the time cost and the operation steps in the prior art are complicated, the efficiency is low, the cost is high, and the storage space occupied by the digital pathological images is huge.
Disclosure of Invention
In view of the above, there is a need to provide a method for acquiring a digital pathological section image, which reduces the storage space occupied by the digital pathological section image, the method comprising:
acquiring a video image of a pathological section acquired in real time, wherein the video image is an image of the pathological section presented under a microscope;
performing identification analysis on the video image, and determining the position of a target to be identified in the video image;
adjusting the microscope in real time according to the position of the target to be recognized in the video image, and acquiring a video image acquired by adjusting the microscope in real time;
carrying out type marking on collected video images according to a target to be identified, wherein the number of the video images is multiple;
and compressing the acquired video image according to the type label to obtain a compressed digital pathological section image.
In one embodiment, the type labeling of the collected video image according to the target to be recognized includes: receiving an annotation instruction of the acquired video image; and respectively carrying out type marking on the collected video images according to the marking instruction.
In one embodiment, the type labeling of the collected video image according to the target to be recognized includes: acquiring the retention time when the video image is acquired; acquiring a threshold value of the retention time when the video image is acquired; determining whether the retention time meets the requirement of the threshold value of the retention time, and extracting a video image corresponding to the retention time meeting the requirement of the threshold value; and performing type marking on the extracted video image meeting the threshold value requirement.
In one embodiment, the compressing the acquired video image according to the type label to obtain a compressed digital pathological section image includes: acquiring a preset compression ratio corresponding to each marking type in the type marking; and respectively compressing the acquired video images according to the preset compression ratio to obtain the compressed digital pathological section images.
In one embodiment, the compressing the acquired video image according to the type label to obtain a compressed digital pathological section image includes: acquiring position coordinates of the video image corresponding to the pathological section; according to the position coordinates of each video image corresponding to the pathological section, performing image splicing on the video images which are compressed according to a preset compression ratio; and obtaining a compressed digital pathological section image according to the spliced video image.
In one embodiment, before the step of performing compression processing on the acquired video image according to the type label to obtain a compressed digital pathological section image, the method further includes: acquiring a plurality of video images corresponding to the same position coordinate; acquiring the definition of the plurality of video images; screening out a target video image meeting the definition requirement from the plurality of video images according to the definitions of the plurality of video images; the compressing the collected video image according to the type label to obtain a compressed digital pathological section image, comprising: compressing the target video image according to a preset compression ratio; and splicing the compressed target video images to obtain a digital pathological section image.
In one embodiment, the adjusting the microscope in real time according to the position of the target to be recognized in the video image, and acquiring the video image acquired by adjusting the microscope in real time includes: adjusting the microscope in the horizontal direction according to the position of the target to be recognized so that the target to be recognized is located in a central area observed by the microscope; and when the target to be recognized is positioned in the central area observed by the microscope, adjusting the display mirror in the vertical direction to enable the target to be recognized to be positioned in the target focal plane of the microscope.
In a second aspect, an embodiment of the present invention provides an apparatus for acquiring a digital pathological section image, where the apparatus includes:
the first acquisition module is used for acquiring a video image of a pathological section acquired in real time, wherein the video image is an image of the pathological section presented under a microscope;
the analysis module is used for carrying out recognition analysis on the video image and determining the position of the target to be recognized in the video image;
the second acquisition module is used for adjusting the microscope in real time according to the position of the target to be identified in the video image and acquiring the video image acquired by adjusting the microscope in real time;
the marking module is used for marking the type of the collected video images according to the target to be identified, and the number of the video images is multiple;
and the acquisition module is used for compressing the acquired video image according to the type label to obtain a compressed digital pathological section image.
In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the following steps:
acquiring a video image of a pathological section acquired in real time, wherein the video image is an image of the pathological section presented under a microscope;
performing identification analysis on the video image, and determining the position of a target to be identified in the video image;
adjusting the microscope in real time according to the position of the target to be recognized in the video image, and acquiring a video image acquired by adjusting the microscope in real time;
carrying out type marking on collected video images according to a target to be identified, wherein the number of the video images is multiple;
and compressing the acquired video image according to the type label to obtain a compressed digital pathological section image.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the processor is caused to execute the following steps:
acquiring a video image of a pathological section acquired in real time, wherein the video image is an image of the pathological section presented under a microscope;
performing identification analysis on the video image, and determining the position of a target to be identified in the video image;
adjusting the microscope in real time according to the position of the target to be recognized in the video image, and acquiring a video image acquired by adjusting the microscope in real time;
carrying out type marking on collected video images according to a target to be identified, wherein the number of the video images is multiple;
and compressing the acquired video image according to the type label to obtain a compressed digital pathological section image.
According to the digital pathological section image acquisition method, the digital pathological section image acquisition device, the computer equipment and the storage medium, firstly, a video image of a pathological section is acquired in real time, and the video image is an image of the pathological section presented under a microscope; secondly, performing identification analysis on the video image, and determining the position of the target to be identified in the video image; then adjusting the microscope in real time according to the position of the target to be recognized in the video image, and simultaneously acquiring a video image acquired by adjusting the microscope in real time; carrying out type marking on collected video images according to a target to be identified, wherein the number of the video images is multiple; and finally, compressing the acquired video image according to the type label to obtain a compressed digital pathological section image. The acquired video images are compressed to obtain the compressed digital pathological section images, so that the storage space occupied by the digital pathological section images can be reduced.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
FIG. 1 is a flow diagram of a method for acquiring digital pathology slice images in one embodiment;
FIG. 2 is a flow diagram of type tagging of captured video images in one embodiment;
FIG. 3 is a flow chart of type labeling for captured video images in another embodiment;
FIG. 4 is a flow diagram of a process for compressing a captured video image in one embodiment;
FIG. 5 is a flow diagram of obtaining a compressed digital pathology slice image in one embodiment;
FIG. 6 is a diagram illustrating stitching and integration of compressed video images according to an embodiment;
FIG. 7 is a flow diagram of screening out a target video image in one embodiment;
FIG. 8 is a flowchart of compressing a target video image to obtain a digital pathology slice image according to an embodiment;
FIG. 9 is a flow diagram of adjusting a microscope in real time to acquire video images in one embodiment;
FIG. 10 is a block diagram of an apparatus for replacing a self-service equipment module in one embodiment;
FIG. 11 is a diagram illustrating an internal structure of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, a method for acquiring a digital pathological section image is proposed, which can be applied to a terminal, and this embodiment is exemplified by being applied to a terminal. The method for acquiring the digital pathological section image specifically comprises the following steps:
and 102, acquiring a video image of the pathological section acquired in real time, wherein the video image is an image of the pathological section presented under a microscope.
The video image refers to an image of a pathological section under a microscope, and the pathological section refers to a pathological tissue slice for observation by an optical microscope or an electron microscope, such as: HE slices. And carrying out video acquisition on images of the pathological sections under the microscope in real time to obtain video images. Video is composed of individual video images. In one embodiment, the collection of the video image can be realized through remote operation, the pathological section is observed through remotely adjusting the microscope, and the image observed by the microscope is collected in real time through a camera arranged on the microscope. The collected video images of the pathological sections are transmitted to the current terminal through a network, and the network transmission can be based on a 5G technology, so that delay-free transmission is realized. For example, the microscope end is placed in a laboratory and the end is the computer of the pathologist. The pathological section is placed under a microscope by a mechanical arm in a remote operation laboratory on a computer by a pathologist, a video image presented under the microscope is acquired in real time through a camera of the microscope, and then the acquired video image is transmitted to the computer of the pathologist based on a 5G technology or a high-speed transmission network. The video images of the pathological sections are collected in real time through the remote operation, so that the influence of chemical components such as trace dimethylbenzene and neutral resin in the pathological sections on the health of an operator can be reduced, and the synchronous operation of an operating system and a drawing collecting system is realized.
And 104, performing identification analysis on the video image, and determining the position of the target to be identified in the video image.
The video image refers to an image of a pathological section presented under a microscope; the target to be identified refers to a target predicted to be identified on a pathological section, such as: the target to be identified may be an abnormal cell; the position of the target to be recognized in the video image refers to specific position information of the target to be recognized in the video image acquired in real time. In one embodiment, the target to be identified may be an abnormal cell; the position of the target to be recognized in the video image may be determined by recognizing the video image, for example: and observing the video image in real time, and when the abnormal cell is identified in the observed video image, obtaining the position of the abnormal cell in the video image. By determining the position of the target to be recognized in the video image, the target to be recognized can be acquired in a targeted manner according to the position information of the target to be recognized.
And 106, adjusting the microscope in real time according to the position of the target to be recognized in the video image, and simultaneously acquiring the video image acquired by adjusting the microscope in real time.
The position of the target to be recognized in the video image refers to specific position information of the target to be recognized in the video image acquired in real time. Since the target to be recognized is not necessarily located in the central observation region of the microscope, the microscope needs to be adjusted so that the target to be recognized is located in the central observation region of the microscope, thereby being more beneficial to the observation of the target to be recognized. Adjusting the microscope in real time according to the position of the target to be recognized in the video image, wherein the microscope can be adjusted in real time from the horizontal direction and the vertical direction according to the position information of the target to be recognized in the video image, the horizontal direction is adjusted to enable the target to be recognized to be located in a central observation area, and the vertical direction is adjusted to amplify the area where the target to be recognized is located; in one embodiment, the simultaneous acquisition of the video images captured by the real-time adjustment microscope may be: by adjusting the microscope in the horizontal and vertical directions in real time, video acquisition is performed in real time in the process of adjusting the display mirror, and acquired video images are acquired. The video image acquired by the real-time adjusting microscope is acquired according to the position of the target to be recognized in the video image, and the video image with the optimal visual field can be accurately obtained.
And 108, carrying out type marking on the collected video images according to the target to be identified, wherein the number of the video images is multiple.
The target to be identified is a target to be identified in the pathological section prediction, the type marking is to classify the video images, and meanwhile, the classification result of the video images is marked, so that the type of the acquired video images is determined. In one embodiment, labeling the acquired video image according to the target to be recognized may be: marking a video image containing a target to be identified as an area A, wherein the area A is a high-quality and high-value area; marking a video image not containing the target to be identified as a B area, wherein the B area is a low-quality and low-value area; thereby completing the type labeling of the video image. The labeling of the video image can complete the synchronous analysis and synchronous labeling of the image when the digital pathological section image is collected, and the collection efficiency of the digital pathological section image can be improved.
And step 110, compressing the acquired video image according to the type label to obtain a compressed digital pathological section image.
The type marking refers to classifying the video images and marking classification results of the video images so as to determine the type of the acquired video images; the compression processing means that the size of the collected video image is compressed according to a certain proportion, so that the storage space occupied by the video image is reduced. In an embodiment, the video image is compressed according to the type label, and the compressed digital pathological section image is obtained by obtaining a compression ratio corresponding to each label type and performing one-to-one compression processing on the video image with the type label according to the compression ratio corresponding to the type of the video image. For example, the video images may be labeled as an area a, an area B, and an area C by type labeling, a preset compression ratio of the area a, a preset compression ratio of the area B, and a compression ratio of the area C are respectively obtained, and the video images labeled as the area a, the area B, and the area C are respectively compressed according to the preset compression ratios to obtain a compressed digital pathological section image. And compressing the video image according to the corresponding type to obtain the digital pathological section image. The video image is compressed, only the compressed digital pathological section image is stored, and the storage space occupied by the digital pathological section image can be reduced.
As shown in fig. 2, in an embodiment, the type labeling of the captured video image according to the target to be identified includes:
The annotation instruction refers to a command for designating annotation of the video image, and can be obtained through man-machine interaction in various modes; the video image is an image of a pathological image section presented under a microscope, and a target needing to be identified is predicted when the target is to be identified. The annotation instruction can be an instruction in various forms, such as a voice annotation instruction, and the video image is annotated by the voice annotation instruction, so that the video image can be synchronously annotated, for example: the target to be identified can be an abnormal cell, when the abnormal cell is observed, the video image containing the abnormal cell and the video image not containing the abnormal cell are respectively marked based on the voice command, the video image containing the abnormal cell is marked as an A type, and the video image not containing the abnormal cell is marked as a B type. By receiving the marking instruction, the synchronous marking of the collected video image can be simply and conveniently realized.
And 204, respectively carrying out type marking on the collected video images according to the marking instruction.
The annotation instruction is a command for designating the annotation of a video image, and the video image is an image of a pathological image section presented under a microscope. The annotation instruction can be a voice annotation instruction, and the acquired video images are annotated one by one according to the received voice annotation instruction, so that the type of the acquired video images can be determined. In one embodiment, the pathological doctor observes the acquired video images in real time at the terminal, and when the video images containing the target to be recognized are observed, a voice annotation instruction is sent out to label the video images containing the target to be recognized as the type A. The video images are labeled through the labeling instruction, so that the type labeling of the collected video images can be realized simply, conveniently and humanizedly.
As shown in fig. 3, in an embodiment, the type labeling of the captured video image according to the target to be identified includes:
The dwell time refers to a time period for which a shot video image is to be stayed to acquire an image presented at the microscope end. The staying time when the video image is acquired can be the shooting time recorded when the video image is acquired, and the obtained time period is the staying time. Because the obtained video images are different, and the stay shooting time periods at the microscope end are also different, the type of the video image can be judged according to the stay time of the collected video image. The type of the video image can be judged according to the length of the stay time of the obtained video image, so that the type marking is carried out on the video image.
The dwell time refers to a time period for dwelling to shoot a video image for acquiring an image presented at the microscope end, the threshold of the dwell time is a critical value of the dwell time, and the threshold of the dwell time can be used for determining whether the dwell time meets the requirement of the threshold. In one embodiment, the threshold value of the stay time may be 1 second, and when the stay time is greater than 1 second, the stay time is judged to meet the threshold requirement. By obtaining the threshold value of the stay time and judging and screening the stay time, the type marking can be carried out on the video image corresponding to the stay time meeting the requirement of the threshold value.
The dwell time refers to a time period for dwelling to shoot a video image for acquiring an image presented at the microscope end, the threshold of the dwell time is a critical value of the dwell time, and the threshold of the dwell time can be used for determining whether the dwell time meets the requirement of the threshold. In one embodiment, the threshold value of the stay time may be 1 second, and when the stay time is greater than or equal to 1 second, the stay time is determined to meet the threshold requirement. Comparing the size of the stay time with the size of the stay time threshold value to obtain that the stay time meets the threshold value requirement of the stay time, and extracting the video image with the stay time of 1 second. In another embodiment, the threshold of the dwell time may be 1 second and 2 seconds, respectively, the first video image corresponds to the first dwell time, the second video image corresponds to the second dwell time, when the first dwell time is greater than or equal to 1 second and the second dwell time is greater than or equal to 2 seconds, it is determined that the two dwell times respectively meet the requirement of the threshold of the dwell time, video images with the dwell time of 1 second and the dwell time of 2 seconds are extracted, and the type of the video images may be labeled according to different dwell times corresponding to the extracted video images.
And 308, performing type marking on the extracted video image meeting the threshold requirement.
The method comprises the steps of obtaining a video image, obtaining a retention time threshold value, and obtaining a type marking result, wherein the threshold value meeting requirement refers to meeting the requirement of the retention time threshold value, the type marking refers to classifying the video image, and meanwhile, the classification result of the video image is marked, so that the type of the collected video image is determined. The method can screen the retention time when the image is collected according to the threshold value of the retention time, so as to obtain the video image corresponding to the retention time meeting the threshold value requirement, and meanwhile, the type of the extracted video image is labeled according to the screened retention time. In one embodiment, the residence time may be: 1 second, the threshold for dwell time may be 1 second. Comparing the size of the stay time with the size of the stay time threshold value to obtain that the stay time meets the threshold value requirement of the stay time, extracting the video image with the stay time of 1 second, and marking the video image as a C-type video image. The type marking is carried out on the video images extracted according to the residence time according to the threshold value requirement of the residence time, the types of all the video images can be accurately obtained, the synchronous marking of the collected video images is realized, and the collection efficiency of the digital pathological section images is improved.
As shown in fig. 4, in an embodiment, compressing the acquired video image according to the type label to obtain a compressed digital pathological section image includes:
Each annotation type in the type annotation refers to a type of a formed video image, which is used for performing annotation processing on the video image when the type annotation is performed on the video image; the preset compression ratio is the ratio of the size of the marked video image after compression to the size of the marked video image before compression. In one embodiment, each annotated type of video image corresponds to a preset compression ratio, that is, each category of video image corresponds to a preset compression ratio. The video images of the same type are compressed uniformly by setting a preset compression ratio, so that the efficiency of storing the video images can be improved.
And step 404, respectively compressing the acquired video images according to the preset compression ratio to obtain compressed digital pathological section images.
The preset compression ratio refers to the ratio of the size of a pre-set labeled video image after compression to the size of the video image before compression, and the compression processing refers to compressing the acquired video image according to the preset compression ratio corresponding to the video image. In one embodiment, each annotated type of video image corresponds to a predetermined compression ratio. And compressing the video images, namely compressing the video images of each category one by one according to a preset compression ratio corresponding to the video images of each category, collecting the video images subjected to compression, and obtaining the video images which are the compressed digital pathological section images. The compression processing is respectively carried out on each type of video through the preset compression ratio, the ratio of effective images in the digital pathological section images can be improved, high-quality digital pathological section images are highlighted, and meanwhile, the storage space occupied by invalid or low-efficiency digital pathological section image data is greatly reduced through the compression processing.
As shown in fig. 5, in an embodiment, compressing the acquired video image according to the type label to obtain a compressed digital pathological section image includes:
The video image refers to an image of a pathological section presented under a microscope; the position coordinates of the video image corresponding to the pathological section refer to coordinate information corresponding to the position of the video image on the pathological section. In one embodiment, the position coordinates of the video image corresponding to the pathological section are acquired by: when the video image is acquired, the coordinates of the video image corresponding to the pathological section are recorded, and the obtained coordinates can be marked as the position coordinates of the video image for the pathological section. By acquiring the position coordinates of the video images corresponding to the pathological section, the coordinates of each video image on the pathological section can be determined for integration to obtain the digital pathological section image.
And step 504, splicing the video images which are compressed according to a preset compression ratio according to the position coordinates of each video image corresponding to the pathological section.
The position coordinate of each video image corresponding to the pathological section refers to coordinate information corresponding to the position of each video image on the pathological section; the preset compression ratio refers to the ratio of the size of a pre-set labeled video image after compression to the size of the marked video image before compression; the compression processing means compressing the acquired video image according to a preset compression ratio corresponding to the video image. The compressed video images may be stitched according to the position coordinates of each video image corresponding to the pathological section, so as to obtain a stitched video image, for example: and compressing each video image according to a preset compression ratio, and sequentially splicing each video image subjected to compression processing into a complete digital pathological section image according to the position coordinates of the video image. As shown in FIG. 6, in one embodiment, the video images are labeled A, B, C three types. And compressing the marked video images according to the corresponding preset compression ratio, and splicing the compressed video images according to the position coordinates corresponding to the video images to obtain spliced and integrated digital pathological section images. The compressed video images are spliced and integrated according to the position coordinates of each video image to obtain a complete digital pathological section image, the acquisition path of the digital pathological section image can be recorded, the acquisition work flow time is reduced, and the acquisition efficiency is improved.
As shown in fig. 7, in an embodiment, before the compressing the acquired video image according to the type label to obtain a compressed digital pathological section image, the method further includes:
and step 702, acquiring a plurality of video images corresponding to the same position coordinate.
The position coordinates refer to coordinate information corresponding to the position of the video image on the pathological section. The method comprises the steps of acquiring images of pathological sections under a microscope when the microscope is adjusted in real time on the same position coordinate, obtaining a plurality of video images, for example, adjusting the microscope from the vertical direction on the same position coordinate, and acquiring images of pathological sections under the microscope when the microscope is adjusted in real time, so that a plurality of video images on the same position coordinate can be obtained. When the microscope is adjusted, the acquired video images have different focusing degrees, and the obtained multiple video images are also different. A plurality of video images corresponding to the same position coordinate are obtained and can be used as alternative video images for obtaining the digital pathological section images.
The multiple video images are multiple video images which can be obtained by adjusting the microscope on the same position coordinate; sharpness refers to the degree of sharpness of a video image. When the microscope is adjusted, the acquired video images have different focusing degrees, and the definition of the obtained multiple video images is also different. According to the multiple video images, the corresponding definition of each video image is obtained respectively, and the definition can be used as a reference value for screening the multiple video images to obtain a target video image meeting the requirement.
And 706, screening out a target video image meeting the definition requirement from the plurality of video images according to the definitions of the plurality of video images.
The definition refers to the definition of a video image, the definition of a plurality of video images refers to the definition corresponding to each video image, and the target video image refers to a video image to be obtained. In one embodiment, a target video image meeting the definition requirement is screened from a plurality of video images, and the highest definition video image can be extracted from the plurality of video images at the same position coordinate and used as the target video image for obtaining the digital pathological section image. By selecting the video images meeting the definition requirement, the digital pathological section images with the best definition can be acquired.
As shown in fig. 8, in an embodiment, the compressing the acquired video image according to the type label to obtain a compressed digital pathological section image includes:
and step 802, compressing the target video image according to a preset compression ratio.
The preset compression ratio refers to the ratio of the size of a pre-set labeled video image after compression to the size of the pre-compressed video image, the target video image refers to a video image required to be obtained, and the compression processing refers to the compression of the target video image according to the preset compression ratio corresponding to the video image. Because the target video image is the video image which is selected from the multiple video images and is required to be obtained according to the definition requirement, when the video image is compressed, the filtered target video image can be compressed according to the preset compression ratio on the same position coordinate. Only the target video image is compressed, so that the workload of compression processing can be reduced, the acquisition efficiency of the digital pathological section image is improved, and meanwhile, the high-quality digital pathological section image can be obtained.
And step 804, splicing the compressed target video images to obtain a digital pathological section image.
The target video image after the compression processing is a video image obtained by compressing a video image to be obtained according to a preset compression ratio. And splicing the compressed target video images, wherein the compressed target video images are respectively compressed according to a preset compression ratio, and then the compressed target video images are spliced according to the position coordinates corresponding to the pathological sections to obtain digital pathological section images. Since the target video image is obtained by screening a plurality of video images at the same position coordinate, the same position coordinate corresponds to one target video image. And splicing the target video images according to all position coordinates on the pathological section to obtain a digital pathological section image. The target video images are screened out, only the target video images are compressed and spliced, only the best images are selected for splicing by adopting a mode of simultaneous acquisition and simultaneous screening, and the storage space occupied by the transmission and storage of the digital pathological section images can be reduced.
As shown in fig. 9, in an embodiment, adjusting the microscope in real time according to the position of the target to be identified in the video image, and acquiring the video image acquired by adjusting the microscope in real time includes:
The position of the target to be identified refers to the position information of the target in the area needing to be identified on the pathological section, and the central area observed by the microscope refers to the central area of the visual field presented under the microscope. Since the target to be recognized is not necessarily located in the central area of the microscope observation, and when the target to be recognized is not located in the central area of the microscope observation, a problem of local defocus occurs in the video image obtained by the microscope end observation, it is necessary to move the target to be recognized from the horizontal direction to the central area of the microscope observation. In one embodiment, the microscope can be adjusted left and right from the horizontal direction according to the position of the target to be recognized on the slice, and the target to be recognized is moved to the central area observed by the microscope, so that a video image can be acquired in real time.
And 904, when the target to be recognized is in the central area observed by the microscope, adjusting the display mirror in the vertical direction to enable the target to be recognized to be in the target focal plane of the microscope.
The target focal plane of the microscope is the most suitable observation plane for enabling the video image presented at the end of the microscope to be imaged clearly when the microscope is adjusted in the vertical direction. In one embodiment, when the target to be identified is located in the central area of the microscope, the microscope may be adjusted in the vertical direction to obtain the optimal focal plane of the target to be identified, so as to obtain the video image collected by the microscope. In the process of adjusting the microscope, the target focal plane of the target to be identified can be obtained in real time, and the video image acquired by the microscope is obtained in real time according to the target focal plane. For example, when the microscope is adjusted from the vertical direction, when the plane image observed at the end of the microscope is the clearest image, the plane is the target focal plane of the microscope, and the video image can be acquired according to the target focal plane. The method can solve the problem of complicated operation steps in the traditional digital pathological section image acquisition by adjusting the microscope end; the video image is collected according to the target focal plane, and the digital pathological section image can be efficiently and accurately acquired.
As shown in fig. 10, an embodiment of the present invention provides an apparatus for acquiring a digital pathological section image, including:
the first obtaining module 1002 is configured to obtain a video image of a pathological section acquired in real time, where the video image is an image of the pathological section presented under a microscope;
the analysis module 1004 is configured to perform recognition analysis on the video image, and determine a position of a target to be recognized in the video image;
a second obtaining module 1006, configured to adjust the microscope in real time according to the position of the target to be identified in the video image, and obtain a video image acquired by adjusting the microscope in real time;
the marking module 1008 is used for marking the type of the collected video images according to the target to be identified, wherein the number of the video images is multiple;
and the acquisition module 1010 is used for compressing the acquired video image according to the type label to obtain a compressed digital pathological section image.
In one embodiment, the type labeling of the collected video image according to the target to be recognized includes: the first obtaining module 1002 is further configured to receive an annotation instruction for the acquired video image; and respectively carrying out type marking on the collected video images according to the marking instruction.
In one embodiment, the type labeling of the collected video image according to the target to be recognized includes: the first obtaining module 1002 is further configured to obtain a retention time when the video image is acquired; the first obtaining module 1002 is further configured to obtain a threshold of a retention time when the video image is acquired; the analysis module 1004 is further configured to determine whether the dwell time meets the requirement of the dwell time threshold, and extract a video image corresponding to the dwell time meeting the requirement of the threshold; the labeling module 1008 is further configured to perform type labeling on the extracted video image meeting the threshold requirement.
In an embodiment, the compressing the acquired video image according to the type label to obtain a compressed digital pathological section image includes: the second obtaining module 1006 is further configured to obtain a preset compression ratio corresponding to each labeling type in the type labeling; the acquisition module 1010 is further configured to perform compression processing on the acquired video images respectively according to the preset compression ratio to obtain compressed digital pathological section images.
In an embodiment, the compressing the acquired video image according to the type label to obtain a compressed digital pathological section image includes: the second obtaining module 1006 is further configured to obtain position coordinates of the video image corresponding to the pathological section; the acquisition module 1010 is further configured to perform image stitching on the video images compressed according to the preset compression ratio according to the position coordinates of each video image corresponding to the pathological section; the acquisition module 1006 is further configured to obtain a compressed digital pathological section image according to the spliced video image.
In one embodiment, before the step of compressing the acquired video image according to the type label to obtain a compressed digital pathological section image, the method further includes: the first obtaining module 1002 is further configured to obtain multiple video images corresponding to the same position coordinate; the second obtaining module 1006 is further configured to obtain the definitions of the plurality of video images; the second obtaining module 1006 is further configured to screen a target video image meeting the definition requirement from the plurality of video images according to the definitions of the plurality of video images; the compressing the collected video image according to the type label to obtain a compressed digital pathological section image, comprising: the acquisition module 1010 is further configured to perform compression processing on the target video image according to a preset compression ratio; the acquisition module 1010 is further configured to splice the compressed target video images to obtain a digital pathological section image.
In one embodiment, the adjusting the microscope in real time according to the position of the target to be recognized in the video image and simultaneously acquiring the video image acquired by adjusting the microscope in real time includes: the second obtaining module 1006 is further configured to adjust the microscope in a horizontal direction according to the position of the target to be identified, so that the target to be identified is located in a central area observed by the microscope; the second obtaining module 1006 is further configured to adjust the display mirror in a vertical direction when the target to be identified is in a central area observed by the microscope, so that the target to be identified is in a target focal plane of the microscope.
FIG. 11 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may be a terminal. As shown in fig. 11, the computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program which, when executed by the processor, may cause the processor to implement the method of acquiring a digital pathology slice image. The internal memory may also have a computer program stored therein, which when executed by the processor, causes the processor to perform a method of acquiring a digital pathology slice image. The network interface is used for communicating with the outside. Those skilled in the art will appreciate that the architecture shown in fig. 11 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the method for acquiring digital pathological section images provided by the present application can be implemented in the form of a computer program, and the computer program can be run on a computer device as shown in fig. 11. The memory of the computer device can store various program templates which form the acquisition device of the digital pathological section image. For example, the first obtaining module 1002, the analyzing module 1004, the second obtaining module 1006, the labeling module 1008, and the collecting module 1010.
A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of: acquiring a video image of a pathological section acquired in real time, wherein the video image is an image of the pathological section presented under a microscope; performing identification analysis on the video image, and determining the position of a target to be identified in the video image; adjusting the microscope in real time according to the position of the target to be recognized in the video image, and acquiring a video image acquired by adjusting the microscope in real time; carrying out type marking on collected video images according to a target to be identified, wherein the number of the video images is multiple; and compressing the acquired video image according to the type label to obtain a compressed digital pathological section image.
In one embodiment, the type labeling of the collected video image according to the target to be recognized includes: receiving an annotation instruction of the acquired video image; and respectively carrying out type marking on the collected video images according to the marking instruction.
In one embodiment, the type labeling of the collected video image according to the target to be recognized includes: acquiring the retention time when the video image is acquired; acquiring a threshold value of the retention time when the video image is acquired; determining whether the retention time meets the requirement of the threshold value of the retention time, and extracting a video image corresponding to the retention time meeting the requirement of the threshold value; and performing type marking on the extracted video image meeting the threshold value requirement.
In an embodiment, the compressing the acquired video image according to the type label to obtain a compressed digital pathological section image includes: acquiring a preset compression ratio corresponding to each marking type in the type marking; and respectively compressing the acquired video images according to the preset compression ratio to obtain the compressed digital pathological section images.
In an embodiment, the compressing the acquired video image according to the type label to obtain a compressed digital pathological section image includes: acquiring position coordinates of the video image corresponding to the pathological section; according to the position coordinates of each video image corresponding to the pathological section, performing image splicing on the video images which are compressed according to a preset compression ratio; and obtaining a compressed digital pathological section image according to the spliced video image.
In one embodiment, before the step of compressing the acquired video image according to the type label to obtain a compressed digital pathological section image, the method further includes: acquiring a plurality of video images corresponding to the same position coordinate; acquiring the definition of the plurality of video images; screening out a target video image meeting the definition requirement from the plurality of video images according to the definitions of the plurality of video images; the compressing the collected video image according to the type label to obtain a compressed digital pathological section image, comprising: compressing the target video image according to a preset compression ratio; and splicing the compressed target video images to obtain a digital pathological section image.
In one embodiment, the adjusting the microscope in real time according to the position of the target to be identified in the video image, and acquiring the video image acquired by adjusting the microscope in real time includes: adjusting the microscope in the horizontal direction according to the position of the target to be recognized so that the target to be recognized is located in a central area observed by the microscope; and when the target to be recognized is positioned in the central area observed by the microscope, adjusting the display mirror in the vertical direction to enable the target to be recognized to be positioned in the target focal plane of the microscope.
A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of: acquiring a video image of a pathological section acquired in real time, wherein the video image is an image of the pathological section presented under a microscope; performing identification analysis on the video image, and determining the position of a target to be identified in the video image; adjusting the microscope in real time according to the position of the target to be recognized in the video image, and acquiring a video image acquired by adjusting the microscope in real time; carrying out type marking on collected video images according to a target to be identified, wherein the number of the video images is multiple; and compressing the acquired video image according to the type label to obtain a compressed digital pathological section image.
In one embodiment, the type labeling of the collected video image according to the target to be recognized includes: receiving an annotation instruction of the acquired video image; and respectively carrying out type marking on the collected video images according to the marking instruction.
In one embodiment, the type labeling of the collected video image according to the target to be recognized includes: acquiring the retention time when the video image is acquired; acquiring a threshold value of the retention time when the video image is acquired; determining whether the retention time meets the requirement of the threshold value of the retention time, and extracting a video image corresponding to the retention time meeting the requirement of the threshold value; and performing type marking on the extracted video image meeting the threshold value requirement.
In an embodiment, the compressing the acquired video image according to the type label to obtain a compressed digital pathological section image includes: acquiring a preset compression ratio corresponding to each marking type in the type marking; and respectively compressing the acquired video images according to the preset compression ratio to obtain the compressed digital pathological section images.
In an embodiment, the compressing the acquired video image according to the type label to obtain a compressed digital pathological section image includes: acquiring position coordinates of the video image corresponding to the pathological section; according to the position coordinates of each video image corresponding to the pathological section, performing image splicing on the video images which are compressed according to a preset compression ratio; and obtaining a compressed digital pathological section image according to the spliced video image.
In one embodiment, before the step of compressing the acquired video image according to the type label to obtain a compressed digital pathological section image, the method further includes: acquiring a plurality of video images corresponding to the same position coordinate; acquiring the definition of the plurality of video images; screening out a target video image meeting the definition requirement from the plurality of video images according to the definitions of the plurality of video images; the compressing the collected video image according to the type label to obtain a compressed digital pathological section image, comprising: compressing the target video image according to a preset compression ratio; and splicing the compressed target video images to obtain a digital pathological section image.
In one embodiment, the adjusting the microscope in real time according to the position of the target to be identified in the video image, and acquiring the video image acquired by adjusting the microscope in real time includes: adjusting the microscope in the horizontal direction according to the position of the target to be recognized so that the target to be recognized is located in a central area observed by the microscope; and when the target to be recognized is positioned in the central area observed by the microscope, adjusting the display mirror in the vertical direction to enable the target to be recognized to be positioned in the target focal plane of the microscope.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
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