Tuning vision foundation models for rectal cancer segmentation from CT scans

Tuning vision foundation models for rectal cancer segmentation from CT scans

Abstract Background Rectal cancer segmentation in CT is crucial for timely diagnosis. Despite promising methods, challenges remain due to the rectum’s complex anatomy and the lack of a comprehensive annotated dataset. Methods A total of 33,024 slice pairs from 398 rectal cancer patients in a new sou...

Full description

Saved in:
Bibliographic Details
Main Authors: Hantao Zhang, Weidong Guo, Shouhong Wan, Bingbing Zou, Wanqin Wang, Chenyang Qiu, Kaige Liu, Peiquan Jin, Jiancheng Yang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-025-00953-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items