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.