A Novel Artificial Intelligence-Based Classification of Highly Myopic Eyes Based on Visual Function and Fundus Features
This classification helps to discover the early hidden visual deficits of highly myopic patients, becoming a useful tool to evaluate the disease comprehensively.
Authors
- Ling Wei (ORCID: https://orcid.org/0000-0002-9086-4368)
- Jiao Qi
- Yunxiao Song
- Yi Lu
- Wenwen He (ORCID: https://orcid.org/0000-0003-4442-1707)
- Zhong‐Lin Lu (ORCID: https://orcid.org/0000-0001-5473-2889)
- Yuxi Chen (ORCID: https://orcid.org/0000-0002-7826-4212)
- Jiaqi Meng
- Yu Du (ORCID: https://orcid.org/0000-0002-2239-4659)
- Keke Zhang
- Xiangjia Zhu (ORCID: https://orcid.org/0000-0001-5588-1667)
Institutions
- University of Illinois Urbana-Champaign (US)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Fudan University (CN)
- New York University Shanghai (CN)
- Eye & ENT Hospital of Fudan University (CN)
- New York University (US)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2024-09-05
- DOI
- https://doi.org/10.1167/tvst.13.9.12
- Citations
- 6
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.43
Funders
- National Natural Science Foundation of China
- Science and Technology Commission of Shanghai Municipality