Robust ventricular segmentation in cardiac MRI via fused attention and capsule networks
The proposed ResFAU-net and HAMC3 framework offers a robust, end-to-end solution for precise ventricular cardiac analysis, demonstrating strong potential to automate and enhance the efficiency of cardiovascular diagnosis in clinical MRI workflows.
Authors
- Taisheng Zeng (ORCID: https://orcid.org/0000-0001-7806-0351)
- Kavimbi Chipusu
- Yuguang Ye (ORCID: https://orcid.org/0000-0002-1059-5664)
- Bijiao Ding
- Jingwei Guo
- Jianlong Huang
- Yifeng Huang
Institutions
- Huaqiao University (CN)
- Fujian Medical University (CN)
- Quanzhou Normal University (CN)
- University of Saskatchewan (CA)
Publication Details
- Journal
- Biomedizinische Technik/Biomedical Engineering
- Published
- 2026-03-17
- DOI
- https://doi.org/10.1515/bmt-2026-0015
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00