A fully convolutional neural network for the quantification of mitral regurgitation in echocardiography
The model showed commendable performance, streamlining the clinical diagnostic process and enhancing the precision and stability of quantitative MR assessment.
Authors
- Sheng Lun Cao (ORCID: https://orcid.org/0009-0009-1532-1636)
- Qing Zhou (ORCID: https://orcid.org/0000-0002-8734-5081)
- Qing Deng (ORCID: https://orcid.org/0000-0001-5116-461X)
- Hongning Song (ORCID: https://orcid.org/0000-0001-6949-6444)
- Jinsheng Xiao
- Yin Wang (ORCID: https://orcid.org/0000-0001-8586-9714)
- Lu Zhong
- Jinling Chen
Institutions
- Wuhan University (CN)
- Renmin Hospital of Wuhan University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-11-21
- DOI
- https://doi.org/10.21037/qims-24-735
- Citations
- 2
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.80