Accurate fatty liver disease diagnosis with a multi-source feature fusion model on the segmented tongue image dataset
This study developed an automated and explainable method for tongue diagnosis that facilitated the low-cost, speedy screening of FLD in large-scale populations, and contributed the largest public dataset to support future modeling research in this field.
Authors
- Yong Xu (ORCID: https://orcid.org/0000-0001-6520-8572)
- Weihong Qiu (ORCID: https://orcid.org/0000-0003-1413-1389)
- Kunhong Liu (ORCID: https://orcid.org/0000-0002-1222-8876)
- Tao Chen (ORCID: https://orcid.org/0009-0004-9886-7282)
- Weimin Ye (ORCID: https://orcid.org/0000-0002-6859-4648)
- Jie Gao (ORCID: https://orcid.org/0000-0002-7189-3913)
- Yijie Wu (ORCID: https://orcid.org/0000-0003-1441-1583)
Institutions
- Fujian Medical University (CN)
- Xiamen University (CN)
- Xiamen University of Technology (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1016/j.jare.2025.10.003
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00