Feasibility of tongue image detection for coronary artery disease: based on deep learning
The use of tongue images in the diagnosis of CAD is feasible, and the inclusion of these features can enhance the performance of existing CAD diagnosis algorithms. We have customized this novel CAD diagnosis algorithm, which offers the advantages of being noninvasive, simple, and cost-effective. It is suitable for large-scale screening of CAD among hypertensive populations. Tongue image features may emerge as potential biomarkers and new risk indicators for CAD.
Authors
- Mengyao Duan
- Chuhao Wang
- Zhixi Hu (ORCID: https://orcid.org/0000-0002-2316-8645)
- Boyan Mao
- Feng Li (ORCID: https://orcid.org/0000-0002-4896-8905)
- Jing Guan (ORCID: https://orcid.org/0000-0002-4978-2512)
- Zijian Li (ORCID: https://orcid.org/0009-0003-0886-8402)
Institutions
- Hunan University of Traditional Chinese Medicine (CN)
- Beijing University of Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2024-08-23
- DOI
- https://doi.org/10.3389/fcvm.2024.1384977
- Citations
- 15
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 10.74
Funders
- National Natural Science Foundation of China
- Ministry of Science and Technology of the People's Republic of China
- China Postdoctoral Science Foundation