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.
, Hybrid Approach to Classifying Histological Subtypes of Non-small Cell Lung Cancer (NSCLC): Combining Radiomics and Deep Learning Features from CT Images
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.med-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.