804 citations · 1.1k across the 5 of their papers we have counts for
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Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images
Manan Shah, Christopher Rubadue, David Suster +1
Current analysis of tumor proliferation, the most salient prognostic biomarker for invasive breast cancer, is limited to subjective mitosis counting by pathologists in localized re…
Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method
Humayun Irshad, Eun-Yeong Oh, Daniel Schmolze +4
The assessment of protein expression in immunohistochemistry (IHC) images provides important diagnostic, prognostic and predictive information for guiding cancer diagnosis and ther…
Deep Learning for Identifying Metastatic Breast Cancer
Dayong Wang, Aditya Khosla, Rishab Gargeya +2
The International Symposium on Biomedical Imaging (ISBI) held a grand challenge to evaluate computational systems for the automated detection of metastatic breast cancer in whole s…