Multi‐scale dual attention embedded U‐shaped network for accurate segmentation of coronary vessels in digital subtraction angiography
MDA-Net has high robustness for coronary vessels segmentation, providing an active strategy for early diagnosis of cardiovascular diseases. The code is publicly available at https://github.com/30410B/MDA-Net.git.
Authors
- He Deng
- Xiangde Min (ORCID: https://orcid.org/0000-0002-1589-6861)
- Kai Cheng
- Yuqing Li (ORCID: https://orcid.org/0009-0006-9684-8867)
- Xu Liu (ORCID: https://orcid.org/0009-0005-2757-7242)
- Tong Fang
Institutions
- Tongji Hospital (CN)
- Wuhan University of Science and Technology (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1002/mp.17618
- Citations
- 3
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- National Natural Science Foundation of China
- Wuhan University
- Wuhan University of Science and Technology