Segmentation of coronary artery and calcification using prior knowledge based deep learning framework
Integrating anatomical prior knowledge of coronary artery and calcification into the deep learning based SEG framework can effectively enhance the performance. Moreover, the volume ratio of segmented coronary artery and calcification is a good predictive factor for RA.
Authors
- Xingyu Jiang (ORCID: https://orcid.org/0000-0001-9790-8856)
- Zeyu Zhang (ORCID: https://orcid.org/0009-0006-2834-3007)
- Qian Chen (ORCID: https://orcid.org/0000-0002-1909-302X)
- Zhenyu Tang (ORCID: https://orcid.org/0000-0002-6998-2669)
- Jinda Wang (ORCID: https://orcid.org/0000-0003-1830-0469)
Institutions
- Peking University (CN)
- Chinese PLA General Hospital (CN)
- Beihang University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-01-29
- DOI
- https://doi.org/10.1002/mp.17642
- Citations
- 2
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 4.01
Funders
- National Natural Science Foundation of China
- Beijing Municipal Natural Science Foundation
- National Key Research and Development Program of China