Department of Ophthalmology, Peking Union Medical College Hospital & Chinese Academy of Medical Sciences, Beijing, China.
Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Diabetes Metab Res Rev. 2021 Jul;37(5):e3414. doi: 10.1002/dmrr.3414. Epub 2020 Oct 29.
Diabetic retinopathy (DR) is one of the leading causes of blindness worldwide, and the limited availability of qualified ophthalmologists restricts its early diagnosis. For the past few years, artificial intelligence technology has developed rapidly and has been applied in DR screening. The upcoming technology provides support on DR screening and improves the identification of DR lesions with a high sensitivity and specificity. This review aims to summarize the progress on automatic detection and classification models for the diagnosis of DR.
糖尿病视网膜病变（DR）是全球致盲的主要原因之一，合格眼科医生的短缺限制了其早期诊断。在过去的几年中，人工智能技术发展迅速，并已应用于 DR 筛查。即将出现的技术为 DR 筛查提供了支持，并提高了对 DR 病变的识别能力，具有较高的灵敏度和特异性。本综述旨在总结用于 DR 诊断的自动检测和分类模型的进展。
