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Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images., , , , , , , , and . CoRR, (2017)Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks., , , , , , , , , and 3 other author(s). CoRR, (2018)From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge., , , , , , , , , and 26 other author(s). IEEE Trans. Med. Imaging, 38 (2): 550-560 (2019)Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images., , , , , , and . IEEE Trans. Med. Imaging, 35 (9): 2141-2150 (2016)Learning to detect lymphocytes in immunohistochemistry with deep learning., , , , , , , , , and 4 other author(s). Medical Image Analysis, (2019)A generic nuclei detection method for histopathological breast images., , , , , and . Medical Imaging: Digital Pathology, volume 9791 of SPIE Proceedings, page 97911E. SPIE, (2016)