Artificial intelligence in cataract grading system: a LOCS III-based hybrid model achieving high-precision classification
A novel cataract diagnostic and grading system can be developed based on the AI recognition algorithm, which establishes an automatic cataract diagnosis and grading scheme. The system facilitates rapid and accurate cataract diagnosis and grading.
Authors
- Yishuai Du (ORCID: https://orcid.org/0000-0002-6073-8918)
- G. Y. Tang (ORCID: https://orcid.org/0009-0001-8718-7677)
- Dexun Jiang
- Jie Zhang (ORCID: https://orcid.org/0009-0002-6551-5921)
- Yanhua Qi (ORCID: https://orcid.org/0000-0002-1332-5221)
- Nan Zhou (ORCID: https://orcid.org/0009-0004-9674-3518)
Institutions
- Harbin University (CN)
- Harbin Medical University (CN)
- Harbin Institute of Technology (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2025-09-09
- DOI
- https://doi.org/10.3389/fcell.2025.1669696
- Citations
- 2
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.72