331 citations · 337 across the 3 of their papers we have counts for
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cs.CV2018★ 331 cited
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos +30
Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is highly subjective an…
cs.CV2016★ 6 cited
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…