Automated quantification of abdominal aortic calcification using 3D nnU-Net: a novel approach to assess AAA rupture risk
The nnU-Net-based model shows potential as an automated tool for accurately segmenting and quantifying abdominal aortic calcification, offering comparable results to manual scoring with significantly reduced evaluation time. This approach may assist in more efficient assessment of AAA rupture risk, supporting clinical decision-making in patient management.
Authors
- Zhi Huang (ORCID: https://orcid.org/0000-0003-3748-9252)
- Ling-Yue Zhang
- Yuanming Luo
- Shuichuan Huang
- Yifan Liu (ORCID: https://orcid.org/0000-0002-6406-4252)
Institutions
- Nanfang Hospital (CN)
- Huizhou Central People's Hospital (CN)
- Shenzhen Baoan High School Group (CN)
- Southern Medical University (CN)
- Guangzhou Medical University (CN)
- Huizhou University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-09-02
- DOI
- https://doi.org/10.1186/s12880-025-01911-x
- Primary Topic
- Aortic aneurysm repair treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Guangdong Province
- Southern Medical University
- Nanfang Hospital