Note: Please fill out the registration form on the challenge website below to have your data access request approved.
This is the dataset for MICCAI26 Challenge: Pan-cancer segmentation in CT scans.
We have curated over 17,000 labeled cancer CT scans, aiming to promote the development of accurate and robust pan-cancer segmentation models in low-resource settings.
Substantial time and… See the full description on the dataset page:
https://huggingface.co/datasets/FLARE-MedFM/PancancerCTSeg.