Deep learning-based cardiac computed tomography angiography left atrial segmentation and quantification in atrial fibrillation patients: a multi-model comparative study
Deep learning models based on a study cohort of 182 CTA left atrial images were capable of achieving competitive results in left atrium segmentation. LAV assessment based on deep learning models may be useful for biomarkers of the onset of atrial fibrillation.
Authors
- Junyan Jin (ORCID: https://orcid.org/0000-0002-2314-4969)
- Ningjing Qian (ORCID: https://orcid.org/0000-0002-8707-2757)
- Lijun Feng (ORCID: https://orcid.org/0000-0003-1541-8947)
- Jianping Xiang (ORCID: https://orcid.org/0000-0002-3333-159X)
- Jun Jiang (ORCID: https://orcid.org/0000-0001-6926-9516)
- Wei Lu
- Jiayi Liu (ORCID: https://orcid.org/0000-0002-5617-7054)
- Lijuan Wang (ORCID: https://orcid.org/0000-0002-9797-0753)
- Yaping Wang (ORCID: https://orcid.org/0000-0002-2740-1731)
- Jingnan Pan
- Zining Chen
Institutions
- State Administration of Cultural Heritage (CN)
- Ningbo Medical Center Lihuili Hospital (CN)
- Zhejiang Hospital (CN)
- Zhejiang Lab (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- BioMedical Engineering OnLine
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1186/s12938-025-01442-0
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Science and Technology Program of Zhejiang Province