Classification of mitral regurgitation in echocardiography based on deep learning methods
The proposed model can identify NM and three types of MR in echocardiography videos, providing a method for the automated auxiliary analysis and rapid screening of echocardiogram images in clinical practice.
Authors
- Chunqiang Hu (ORCID: https://orcid.org/0000-0001-5825-2241)
- Cuizhen Pan (ORCID: https://orcid.org/0000-0001-7697-9970)
- Helin Huang
- Hairui Wang (ORCID: https://orcid.org/0000-0002-5853-1723)
- Zhenyi Ge (ORCID: https://orcid.org/0000-0001-6563-6403)
- Xiaomei Wu (ORCID: https://orcid.org/0000-0002-4937-7680)
- Jing Wu (ORCID: https://orcid.org/0009-0003-9185-7068)
- Nan Li (ORCID: https://orcid.org/0009-0006-0409-4157)
Institutions
- Fudan University (CN)
- Zhongshan Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-08-21
- DOI
- https://doi.org/10.21037/qims-2025-120
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00