Article

Weakly supervised contrastive learning infers molecular subtypes and recurrence of breast cancer from unannotated pathology images

2023-04-17

Abstract excerpt

The deep learning-powered computational pathology has led to sig-nificant improvements in the speed and precise of tumor diagnosis,, while also exhibiting substantial potential to infer genetic mutations and gene expression levels. However,current studies remain limited in predicting molecular subtypes and recurrence risk in breast cancer. In this paper, we proposed a weakly supervised contrastive learning framewo...

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Literature Corpus work: 58bd0803-3461-5d3d-9fca-f25e6f7e6446
DOI: 10.1101/2023.04.13.536813

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