Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set
Deep learning models can accurately predict retinopathy in diabetic patients. The findings of this study can be used for prevention and monitoring by allocating resources to high-risk patients.
Authors
- Yan Zhu (ORCID: https://orcid.org/0000-0002-3197-7936)
- Gui Mu
- Tiao Ning
- Jing Li (ORCID: https://orcid.org/0000-0002-0337-5508)
- Weijun Gong
- Pu You (ORCID: https://orcid.org/0000-0001-9517-5492)
Institutions
- Kunming University (CN)
- Yunnan Agricultural University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-06-16
- DOI
- https://doi.org/10.3389/fmed.2025.1591832
- Citations
- 3
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- National Natural Science Foundation of China
- Yunnan Provincial Department of Education