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


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.

More about this publication

Cell reports. Medicine
  • Volume 3
  • Issue nr. 12
  • Pages 100873
  • Publication date 20-12-2022

This site uses cookies

This website uses cookies to ensure you get the best experience on our website.