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Stain Specific Standardization of Whole-Slide Histopathological Images., , , , , , and . IEEE Trans. Medical Imaging, 35 (2): 404-415 (2016)Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks., , , , , , , , , and . IEEE Trans. Medical Imaging, 35 (5): 1160-1169 (2016)Gigapixel end-to-end training using streaming and attention., , , , , , and . Medical Image Anal., (August 2023)Automatic segmentation of histopathological slides of renal tissue using deep learning., , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 1058112. SPIE, (2018)Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels., , , and . CoRR, (2020)Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard., , , , , , , , , and . CoRR, (2018)A Pattern Recognition Approach to Zonal Segmentation of the Prostate on MRI., , , , and . MICCAI (2), volume 7511 of Lecture Notes in Computer Science, page 413-420. Springer, (2012)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). IEEE Trans. Medical Imaging, 37 (9): 2126-2136 (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. Medical Imaging, 38 (2): 550-560 (2019)A survey on deep learning in medical image analysis., , , , , , , , and . Medical Image Anal., (2017)