HRD-related morphology discovery in breast cancer by controlling for confounding factors

Abstract

Lazard et al. 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.

Publication
Cell Reports Medicine 2022

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