Supplementary Table 19 from A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images
Abstract
Quantitative TME metrics and correlation analysis of the TP53&EGFR, TP53&KRAS, and TP53&ALK groups compared to the KRAS mutation group, with statistical significance determined by T-test.
Fields of Study & Subjects
AI in cancer detection
Radiomics and Machine Learning in Medical Imaging
Cancer Genomics and Diagnostics
Publication details
- Publication date
- 12 March 2026
- Language
- EN