In this study, 3D V-Net architecture provided reliable rectal cancer segmentation on T2WI and DWI compared with expert-based segmentation, and auto segmentation was subjected to radiomics analysis in the prediction of KRAS/NRAS/BRAF mutation status and may produce a good prediction result. Here, BRAF is linked to rectal cancer.