Automatic screening for diabetic retinopathy in interracial fundus images using artificial intelligence

• Published in: Intelligence-Based Medicine Vol. 3-4; p. 100024
• Main Authors: Katada, Yusaku, Ozawa, Nobuhiro, Masayoshi, Kanato, Ofuji, Yoshiko, Tsubota, Kazuo, Kurihara, Toshihide
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2020; Elsevier BV
• Subjects: Artificial intelligence; Diabetic retinopathy; Fundus photography; Informatics; Diabetic retinopathy; Artificial intelligence; Fundus photography

The development of deep learning technology and high-performance computers in recent years has enabled significant improvement in the accuracy of image recognition, and efforts are currently being made toward the development of ophthalmic artificial intelligence (AI). In this study, deep learning wa...