Handcrafted radiomics from multicenter CT scans achieves 0.77 AUC for predicting EGFR and KRAS mutations in lung cancer and generalizes better than deep features.
The cancer genome atlas lung adenocarcinoma collection (tcga-luad)
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Robust Multicenter CT Radiogenomics for Dual EGFR and KRAS Prediction in Lung Cancer with Stability-Aware Modeling and SHAP Interpretation
Handcrafted radiomics from multicenter CT scans achieves 0.77 AUC for predicting EGFR and KRAS mutations in lung cancer and generalizes better than deep features.