Iterative joint learning integrating temporal and geometric information for vessel segmentation in X‐ray coronary angiography
The results indicate that integrating temporal and geometric information into the iterative learning network can effectively enhance vessel segmentation in coronary angiography images.
Authors
- Deqiang Xiao (ORCID: https://orcid.org/0000-0002-7478-1394)
- Danni Ai (ORCID: https://orcid.org/0000-0002-2285-0570)
- Jinglian Fan (ORCID: https://orcid.org/0000-0002-2287-4441)
- Jie Yang (ORCID: https://orcid.org/0000-0003-4801-7162)
- Yunlong Gao (ORCID: https://orcid.org/0009-0006-9175-3535)
- Feixu Shang
- Yining Wang
- Hong Song
- Yuanyuan Wang
Institutions
- Beijing Institute of Technology (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1002/mp.70317
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00