Cross-modal attention model integrating tongue images and descriptions: a novel intelligent TCM approach for pathological organ diagnosis
This study introduces a new perspective on intelligent tongue diagnosis in TCM by incorporating visual and textual data. The experimental findings highlight the importance of cross-modal feature fusion for improving the accuracy of pathological diagnosis. Our approach not only contributes to the development of more effective diagnostic systems but also paves the way for future advancements in the automation of TCM diagnosis.
Authors
- Jiaying Wu (ORCID: https://orcid.org/0000-0001-5184-4295)
- Chuanxia Liu (ORCID: https://orcid.org/0000-0002-7484-2310)
- Lei Shi (ORCID: https://orcid.org/0000-0002-2297-3079)
- Chen Wang
- Zhaoman Zhong (ORCID: https://orcid.org/0000-0003-0004-3193)
- Jianga Shang (ORCID: https://orcid.org/0000-0001-7571-8015)
- Quan Gan (ORCID: https://orcid.org/0000-0002-6495-6365)
- Qi‐Wei Ge
Institutions
- University of East Asia (JP)
- Yamaguchi University (JP)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-04-23
- DOI
- https://doi.org/10.3389/fphys.2025.1580985
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00