SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy data
Journal:
arXiv
Published Date:
Dec 20, 2024
Abstract
Colorectal cancer (CRC) remains a leading cause of cancer-related deaths
worldwide, with polyp removal being an effective early screening method.
However, navigating the colon for thorough polyp detection poses significant
challenges. To advance camera navigation in colonoscopy, we propose the
Semantic Segmentation for Tools and Fold Edges in Colonoscopy (SegCol)
Challenge. This challenge introduces a dataset from the EndoMapper repository,
featuring manually annotated, pixel-level semantic labels for colon folds and
endoscopic tools across selected frames from 96 colonoscopy videos. By
providing fold edges as anatomical landmarks and depth discontinuity
information from both fold and tool labels, the dataset is aimed to improve
depth perception and localization methods. Hosted as part of the Endovis
Challenge at MICCAI 2024, SegCol aims to drive innovation in colonoscopy
navigation systems. Details are available at
https://www.synapse.org/Synapse:syn54124209/wiki/626563, and code resources at
https://github.com/surgical-vision/segcol_challenge .
