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Statistical tools for evaluating classification efficacy of feature extraction techniques., , , , , , и . ICDIP, том 7546 из SPIE Proceedings, стр. 75461B. SPIE, (2010)Multimodal characterization of radiologically detectable lung lesions., , , , , и . EMBC, стр. 1422-1425. IEEE, (2016)Deep Learning based Skin-layer Segmentation for Characterizing Cutaneous Wounds from Optical Coherence Tomography Images., , , , и . EMBC, стр. 1-4. IEEE, (2023)Deep learning of tissue specific speckle representations in optical coherence tomography and deeper exploration for in situ histology., , , , , и . ISBI, стр. 777-780. IEEE, (2015)Development of Cardiac Prescreening Device for Rural Population Using Ultralow-Power Embedded System., , , , , и . IEEE Trans. Biomed. Eng., 58 (3): 745-749 (2011)Methods and System for Segmentation of Isolated Nuclei in Microscopic Breast Fine Needle Aspiration Cytology Images., , , , , , и . ICVGIP Workshops, том 10481 из Lecture Notes in Computer Science, стр. 380-392. Springer, (2016)Quantitative Analysis of Histopathological Features of Precancerous Lesion and Condition Using Image Processing Technique., , , , , , , и . CBMS, стр. 231-236. IEEE Computer Society, (2006)A fast auto white balance scheme for digital pathology., , , , и . BHI, стр. 153-156. IEEE, (2014)High-Magnification Multi-views Based Classification of Breast Fine Needle Aspiration Cytology Cell Samples Using Fusion of Decisions from Deep Convolutional Networks., , , , , , , и . CVPR Workshops, стр. 828-833. IEEE Computer Society, (2017)Epithelial mesenchymal transition in lung cancer cells: A quantitative analysis., , , , , и . EMBC, стр. 5372-5375. IEEE, (2015)