Supplementary Table 10 from A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images
Abstract
Performance comparison of NAVF-Bio and 11 SOTA models in the TP53 mutation subtype prediction task based on the SXHCSU dataset.
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