KRAS and non-small cell lung carcinoma: Although the above model achieved considerable performance, there are still some challenges in the study of deep learning methods based on image and genetic data for predicting KRAS mutation status in NSCLC: 1) Majority of deep learning methods [8, 9] that study classification tasks focus only on classification methods.