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Improving prostate cancer classification in H&E tissue micro arrays using Ki67 and P63 histopathology.

, , , , , , , and . Comput. Biol. Medicine, (2020)

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Separation of Benign and Malignant Glands in Prostatic Adenocarcinoma., , , , , and . MICCAI (3), volume 8151 of Lecture Notes in Computer Science, page 461-468. Springer, (2013)Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts., , , , , , , , , and 6 other author(s). Medical Image Anal., (2018)Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images., , , , , and . CoRR, (2022)Automatic pathology of prostate cancer in whole mount slides incorporating individual gland classification., , , , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 7 (3): 336-347 (2019)Multi-parametric 3D Quantitative Ultrasound Vibro-Elastography Imaging for Detecting Palpable Prostate Tumors., , , , , , , , , and 2 other author(s). MICCAI (1), volume 8673 of Lecture Notes in Computer Science, page 561-568. Springer, (2014)Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images - Role of Multiscale Decision Aggregation and Data Augmentation., , , , , and . IEEE J. Biomed. Health Informatics, 24 (5): 1413-1426 (2020)Improving prostate cancer classification in H&E tissue micro arrays using Ki67 and P63 histopathology., , , , , , , and . Comput. Biol. Medicine, (2020)