Gomes Ataide et al., 2021 - Google Patents
Comparison of deep learning algorithms for semantic segmentation of ultrasound thyroid nodulesGomes Ataide et al., 2021
View HTML- Document ID
- 11435097963622293084
- Author
- Gomes Ataide E
- Agrawal S
- Jauhari A
- Boese A
- Illanes A
- Schenke S
- Kreissl M
- Friebe M
- Publication year
- Publication venue
- Current Directions in Biomedical Engineering
External Links
Snippet
Ultrasound (US) imaging is used as a preliminary diagnostic tool for the detection, risk- stratification and classification of thyroid nodules. In order to perform the risk stratification of nodules in US images physicians first need to effectively detect the nodules. This process is …
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0476—Electroencephalography
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
- A61B5/0402—Electrocardiography, i.e. ECG
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/41—Detecting, measuring or recording for evaluating the immune or lymphatic systems
- A61B5/414—Evaluating particular organs or parts of the immune or lymphatic systems
- A61B5/415—Evaluating particular organs or parts of the immune or lymphatic systems the glands, e.g. tonsils, adenoids or thymus
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/0059—Detecting, measuring or recording for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0062—Arrangements for scanning
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/12—Manufacturing methods specially adapted for producing sensors for in-vivo measurements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Gomes Ataide et al. | Comparison of deep learning algorithms for semantic segmentation of ultrasound thyroid nodules | |
| Ernst et al. | Pulse arrival time-a sensitive vital parameter for the detection of mental stress | |
| Matyash et al. | Accuracy measurement of HoloLens2 IMUs in medical environments | |
| Ding et al. | Generating adversarial images to monitor the training state of a CNN model | |
| Chen et al. | Electrical impedance tomography might be a practical tool to provide information about COVID-19 pneumonia progression | |
| Alshirbaji et al. | Assessing generalisation capabilities of CNN models for surgical tool classification | |
| Nair et al. | Generalised image processing method for quantitative analysis of nucleus, cell and focal adhesion clusters | |
| Arabian et al. | Traditional versus neural network classification methods for facial emotion recognition | |
| George et al. | Investigation of inertial cavitation of sonosensitive and biocompatible nanoparticles in flow-through tissue-mimicking phantoms employing focused ultrasound | |
| Samann et al. | Use of a trained denoising autoencoder to estimate the noise level in the ECG | |
| Bauer et al. | ForeSight approach to improve privacy and security in the smart living domain | |
| Remmo et al. | Physical characterization of biomedical magnetic nanoparticles using multi-detector centrifugal field-flow fractionation | |
| Singh et al. | Persistent homology approach distinguishes potential pattern between “Early” and “Not Early” hepatic decompensation groups using MRI modalities | |
| Doll et al. | Evaluation of Streptococcus oralis adhesion and biofilm formation on laser-processed titanium | |
| Schuhmann et al. | Parameter estimation of support vector machine with radial basis function kernel using grid search with leave-p-out cross validation for classification of motion patterns of subviral particles | |
| Huling et al. | Comparison of Characteristics of Poly (Nisopropylacrylamide) in Bulk Hydrogel and Ball-milled Microgel Forms | |
| Laufer et al. | Optimal sensor location in a smart-shirt to measure accurate tidal volumes during abdominal and thoracic respiration | |
| Bhave et al. | Comparison of a histology based multi layer artery model to its simplified axisymmetric model. | |
| Selbmann et al. | Investigation of biocompatible Parylene as triboelectric layer for wearable energy harvesting | |
| Wulff et al. | Cross data set generalization of ultrasound image augmentation using representation learning: A case study | |
| Salvi et al. | BODYTUNE: Multi Auscultation Device–Personal Health Parameter Monitoring at Home | |
| Buhl et al. | Dry-fog disinfection as an alternative method for room decontamination | |
| Walluscheck et al. | Partial 3D-reconstruction of the colon from monoscopic colonoscopy videos using shape-from-motion and deep learning | |
| Selvaraju et al. | Analysis of uterine electromyography signals using time-frequency based topological features for detection of preterm birth | |
| Zahedi et al. | Application of an Ultrashort-pulsed Laser for Generation of Super-hydrophobic Surfaces |