In Diabetes/metabolism research and reviews
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. This article is protected by copyright. All rights reserved.
Wang Yue-Lin, Yang Jing-Yun, Yang Jing-Yuan, Zhao Xin-Yu, Chen You-Xin, Yu Wei-Hong
Artificial intelligence, Deep learning, Diabetic retinopathy, Progress, Review, Screening