Poster
in
Workshop: Medical Imaging meets NeurIPS
Grade-Adjusted Image Analysis Of Breast Cancer To Predict Subtype
Dong Neuck Lee · J. S. Marron · Yao Li
Abstract:
A 50-gene subtype predictor called PAM50 was developed to predict breast cancer prognosis and chemotherapy benefit by classifying cancer as luminal A, luminal B, or others. We propose a machine-learning pipeline analyzing H&E stained TMA images to discriminate between luminal A and luminal B subtypes in a way that removes the closely-associated tumor-grade effects.
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