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Classification of dermatological ulcers based on tissue composition and color texture features., , , и . ISABEL, стр. 68:1-68:6. ACM, (2011)A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis., , , , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 15 (10): 1737-1748 (2020)Recognition of vertebral compression fractures in magnetic resonance images using statistics of height and width., , , , , и . MeMeA, стр. 1-5. IEEE, (2016)Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images., , , , и . Comput. Biol. Medicine, (2016)Integrating 3D image descriptors of margin sharpness and texture on a GPU-optimized similar pulmonary nodule retrieval engine., , и . J. Supercomput., 73 (8): 3451-3467 (2017)A method for edge restoration and breast region segmentation in noisy mammograms., и . CARS, том 1268 из International Congress Series, стр. 1350. Elsevier, (2004)The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine., , , , , , , , и . Comput. Biol. Medicine, (2021)Grid computing to make viable the content based medical image retrieval through the image registration techniques., , , и . EATIS, стр. 16. (2007)A 2-AFC study to validate artificially inserted microcalcification clusters in digital mammography., , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 10952 из SPIE Proceedings, стр. 109520R. SPIE, (2019)Radiomics-based features for pattern recognition of lung cancer histopathology and metastases., , , , и . Comput. Methods Programs Biomed., (2018)