In this study, we segmented rectal cancer via 3D V-Net on T2WI and DWI and then compared the radiomics performance in predicting KRAS/NRAS/BRAF status between DL-based auto segmentation and manual-based segmentation. Here, NRAS is linked to rectal cancer.