Enhancing Glaucoma Diagnosis Through Multi-Layer Transformer and Multi-Modal Feature Fusion
The proposed multi-modal-based glaucoma grading framework offers a more accurate diagnostic tool by integrating multiple examination modalities and prior knowledge, representing a substantial improvement over existing single-modality-based systems.
Authors
- Huihui Fang (ORCID: https://orcid.org/0000-0002-1774-2436)
- Yanwu Xu (ORCID: https://orcid.org/0000-0002-1779-931X)
- Yi Shi
- Dongyang Zhao (ORCID: https://orcid.org/0009-0002-0374-3048)
- Lixin Duan (ORCID: https://orcid.org/0000-0002-0723-4016)
- Qi Gao (ORCID: https://orcid.org/0009-0002-2106-8445)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Guangdong University Of Finances and Economics (CN)
- Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (CN)
- Institute for Advanced Study (DE)
- Sichuan Academy of Traditional Chinese Medicine (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2025-11-12
- DOI
- https://doi.org/10.1167/tvst.14.11.8
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- South China University of Technology