A novel network with enhanced edge information for left atrium segmentation from LGE-MRI
The method offers a practical framework for precise LA localization and segmentation, particularly strengthening the algorithm's effectiveness in improving segmentation outcomes for irregular protrusions and discrete multiple targets. Additionally, the generalizability of our model was evaluated on the heart dataset from the Medical Segmentation Decathlon (MSD) challenge, confirming its robustness across different clinical scenarios involving LA segmentation.
Authors
- Xiqian Wang (ORCID: https://orcid.org/0009-0009-2674-9179)
- Zhen Wang (ORCID: https://orcid.org/0000-0001-6729-2640)
- Qince Li (ORCID: https://orcid.org/0000-0003-3447-7352)
- Kuanquan Wang (ORCID: https://orcid.org/0000-0003-1347-3491)
- Ze Zhang (ORCID: https://orcid.org/0000-0002-5336-8875)
- Yongfeng Yuan
Institutions
- Harbin Institute of Technology (CN)
- Central Hospital of Zibo (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2024-12-10
- DOI
- https://doi.org/10.3389/fphys.2024.1478347
- Citations
- 3
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- National Natural Science Foundation of China