Predicting tumor mutation burden and VHL mutation from renal cancer pathology slides with self-supervised deep learning.

Our results indicated that SSL-ABMIL can effectively extract histological features for predicting TMB and VHL mutation, demonstrating promising results in linking tumor morphology and molecular biology.