Figure 1 from Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images
Nikhil Cherian Kurian, Peter H. Gann, Neeraj Kumar, Stephanie M. McGregor, Ruchika Verma, Amit Sethi · 2025
Diagram depicting the allocation of breast cancer WSIs for analysis. Phase A: filtering of TCGA images. Phase B: 680 cases were divided by assigned subtype, and then subsets with transcriptomically pure subtype adherence were randomly split into training, validation, and test subgroups. Phase C: Pure cases for each subtype were held out for initial testing. The final test set used all LumA cases that were held out, representing the full range of LumA transcriptomic purity. IDC, invasive ductal carcinoma; ILC, invasive lobular carcinoma.