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Effectiveness of color correction on the quantitative analysis of histopathological images acquired by different whole-slide scanners., , , , , , , и . Artif. Life Robotics, 24 (1): 28-37 (2019)Automated gastric cancer diagnosis on H&E-stained sections; ltraining a classifier on a large scale with multiple instance machine learning., , , , , , , и . Medical Imaging: Digital Pathology, том 8676 из SPIE Proceedings, стр. 867605. SPIE, (2013)A multi-scale conditional deep model for tumor cell ratio counting., , , , , , , и . Medical Imaging: Digital Pathology, том 11603 из SPIE Proceedings, SPIE, (2021)Automatic classification of hepatocellular carcinoma images based on nuclear and structural features., , , , , , , , и . Medical Imaging: Digital Pathology, том 8676 из SPIE Proceedings, стр. 86760Y. SPIE, (2013)Application of PDM Digital Neural Network System to Real-Time Brain Activity Source Localization., , и . ICONIP, стр. 1414-1417. IOA Press, (1998)Drug response prediction using deep neural network trained by adaptive resampling of histopathological images., , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Color processing in pathology image analysis system for liver biopsy., , , , , , , , и . CIC, стр. 184-188. Society for Imaging Science and Technology, (2014)Characterization of chromatin texture by contour complexity for cancer cell classification., , , и . BIBE, стр. 1-6. IEEE, (2008)Dawn of the digital diagnosis assisting system, can it open a new age for pathology?, , , и . Medical Imaging: Digital Pathology, том 8676 из SPIE Proceedings, стр. 867602. SPIE, (2013)