作者: Yue‐Lin Wang , Jing‐Yun Yang , Jing‐Yuan Yang , Xin‐Yu Zhao , You‐Xin Chen
DOI: 10.1002/DMRR.3414
关键词:
摘要: Diabetic retinopathy (DR) is one of the leading causes blindness worldwide, and limited availability qualified ophthalmologists restricts its early diagnosis. For past few years, artificial intelligence technology has developed rapidly been applied in DR screening. The upcoming provides support on screening improves identification lesions with a high sensitivity specificity. This review aims to summarize progress automatic detection classification models for diagnosis DR.