SSC-Net: A multi-task joint learning network for tongue image segmentation and multi-label classification
The proposed method can effectively classify multiple tongue characteristics with the support of the multi-task learning strategy and the integration of a fine-grained classification module. Code is available here.
Authors
- Xiaopeng Sha (ORCID: https://orcid.org/0000-0003-3323-7322)
- Yunxin Wang (ORCID: https://orcid.org/0000-0003-1550-5012)
- Zheng Guan (ORCID: https://orcid.org/0000-0003-4817-8310)
- Jinglu Han (ORCID: https://orcid.org/0000-0003-0394-5467)
- Zhaojun Chen (ORCID: https://orcid.org/0009-0002-1180-3119)
- Ying Wang (ORCID: https://orcid.org/0000-0001-6638-8026)
Institutions
- Beijing University of Chinese Medicine (CN)
- Second Hospital of Shandong University (CN)
- Northeastern University (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1177/20552076251343696
- Citations
- 43
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 102.40
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hebei Province