A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images.

Abstract excerpt

Deep learning (DL) has the potential to enable the prediction of gene mutations directly from routine histopathology slides in lung cancer. However, existing approaches have largely been limited to mutation-level prediction and have not achieved precise identification of driver mutation subtypes nor exonic variants, constraining the translation of DL into targeted therapy. In this study, we assembled a large...

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