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Detection of acini in histopathology slides: towards automated prediction of breast cancer risk.

, , , , , , , and . Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 109560Q. SPIE, (2019)

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Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images., , , , , , , and . CoRR, (2020)Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk., , , , , , , , , and 6 other author(s). CoRR, (2019)LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset., , , , , , , , , and 11 other author(s). CoRR, (2023)Adversarial attack vulnerability of medical image analysis systems: Unexplored factors., , , , , , , , , and 2 other author(s). Medical Image Anal., (2021)Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors., , , , , , , , , and 2 other author(s). CoRR, (2020)Detection of acini in histopathology slides: towards automated prediction of breast cancer risk., , , , , , , and . Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 109560Q. SPIE, (2019)LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset., , , , , , , , , and 11 other author(s). IEEE J. Biomed. Health Informatics, 28 (3): 1161-1172 (March 2024)