Analysis and comparison of retinal vascular parameters under different glucose metabolic status based on deep learning
The deep learning-based model facilitates retinal vascular parameter identification and quantification, revealing significant differences. These parameters exhibit potential as biomarkers for prediabetes and diabetes.
Authors
- Yan Jiang (ORCID: https://orcid.org/0000-0002-2818-7140)
- Qijie Wei
- Yongjiang Cai
- Wenqun Xi
- Xiaohong Chen (ORCID: https://orcid.org/0000-0002-9797-8384)
- Zhe Zhang (ORCID: https://orcid.org/0000-0002-7209-614X)
- Binbin Chen (ORCID: https://orcid.org/0000-0001-5962-3147)
- Jingjing Xu (ORCID: https://orcid.org/0000-0001-9737-5025)
- Lin Yang (ORCID: https://orcid.org/0000-0002-7615-209X)
Institutions
- Jinan University (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Peking University Shenzhen Hospital (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
Publication Details
- Journal
- International Journal of Ophthalmology
- Published
- 2024-08-20
- DOI
- https://doi.org/10.18240/ijo.2024.09.02
- Citations
- 8
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 3.23