Deep Learning-Based Assessment for Media Haze and Retinal Vascular Leakage of Uveitis
This study underscores the potential of deep learning in automating uveitis diagnosis, improving accuracy, and offering novel indicators for disease activity and treatment outcomes.
Authors
- Yuqin Wang (ORCID: https://orcid.org/0000-0003-4979-3286)
- Hao Liang (ORCID: https://orcid.org/0000-0002-1570-3783)
- Jianhong Zhou (ORCID: https://orcid.org/0000-0001-9829-8076)
- Yu Jin (ORCID: https://orcid.org/0000-0002-0078-4699)
- Dan Lin (ORCID: https://orcid.org/0000-0002-3083-4861)
- Jianguo Huang
- Xingyi Li (ORCID: https://orcid.org/0000-0002-0368-4538)
- Zixiang Wang (ORCID: https://orcid.org/0009-0002-1788-0668)
- Mali Dai (ORCID: https://orcid.org/0000-0003-0412-5938)
Institutions
- Hunan University of Traditional Chinese Medicine (CN)
- Wenzhou Medical University (CN)
Publication Details
- Journal
- Ocular Immunology and Inflammation
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1080/09273948.2025.2567520
- Primary Topic
- Ocular Diseases and Behçet’s Syndrome
- Type
- article
- Field-Weighted Citation Impact
- 0.00