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BMC Cancer|June 1, 2018
Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancerJon Whitney, German Corredor, Andrew Janowczyk, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network featuresHaibo Wang, Angel Cruz-Roa, Ajay Basavanhally, et al.
Clinical Imaging|December 1, 2018
Clinical, imaging, and intervention factors associated with the upgrade of isolated flat epithelial atypiaErin Alencherry, Rakhee Goel, Sarah Gore, et al.
Archives of Pathology & Laboratory Medicine|October 31, 2012
Successful implementation of a longitudinal, integrated pathology curriculum during the third year of medical schoolRichard L Haspel, Parul Bhargava, Hannah Gilmore, et al.
Scientific Reports|April 19, 2017
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extentAngel Cruz-Roa, Hannah Gilmore, Ajay Basavanhally, et al.
Breast Cancer Research : BCR|October 16, 2014
Anatomical localization of progenitor cells in human breast tissue reveals enrichment of uncommitted cells within immature lobulesLisa M Arendt, Patricia J Keller, Adam Skibinski, et al.
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