2 papers
cs.CV2026
GUMP-Net: An interpretable model-data-driven intelligent algorithm for multi-class pelvic segmentation
Liheng Wang, Yinghui Zhang, Licheng Zhang +3
Pelvic segmentation is one of the most important and fundamental research problems in precise and intelligent diagnosis and treatment, as well as surgical planning and navigation f…
eess.IV2025
Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge
Yudi Sang, Yanzhen Liu, Sutuke Yibulayimu +33
The segmentation of pelvic fracture fragments in CT and X-ray images is crucial for trauma diagnosis, surgical planning, and intraoperative guidance. However, accurately and effici…