Weakly supervised contrastive learning infers molecular subtypes and recurrence of breast cancer from unannotated pathology images
Hui Liu, Yang Zhang, Aichun Zhu, Zhiqiang Sun, Judong Luo
This paper uses weakly supervised contrastive learning to infer molecular subtypes and recurrence risk in breast cancer from unannotated pathology images, achieving strong cross-cohort performance and alignment with pathologist annotations.
bioRxiv · Apr 13, 2023 · PreprintBioinformatics