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HRD-related morphology discovery in breast cancer by controlling for confounding factors
Yoni Schirris1, Hugo Mark Horlings2
1Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam, CX 1066, the Netherlands; University of Amsterdam, Science Park 402, Amsterdam, XH 1098, the Netherlands.
Cell Reports. Medicine
|December 21, 2022
Abstract:
Lazard et al.1 predict homologous recombination deficiency from hematoxylin and eosin-stained slides of breast cancer tissue using deep learning. By controlling for technical artifacts on a curated dataset, the model puts forward novel HRD-related morphologies in luminal breast cancers.
