CAS-Colon: A Comprehensive Colonoscopy Anatomical Segmentation Dataset for Artificial Intelligence Development

CAS-Colon is a comprehensive colonoscopy video dataset comprising 78 high-resolution endoscopy videos (30GB in total, 9.08 hours duration) recorded at 60 fps. Each video is meticulously annotated with ten distinct anatomical regions: terminal ileum, cecum, ascending colon, hepatic flexure, transverse colon, splenic flexure, descending colon, sigmoid colon, rectum, and anal canal. All videos were collected using standard Olympus endoscopy equipment (CV-290) between March-July 2024. The dataset underwent rigorous quality control, with exclusion criteria including poor bowel preparation, unclear imaging, incomplete recording, and unclear anatomical boundaries. All videos were completely de-identified, making this dataset a valuable resource for developing AI applications in colonoscopy.