Deep convolutional neural networks for diabetic retinopathy detection by image classification

• Published in: Computers & electrical engineering Vol. 72; pp. 274 - 282
• Main Authors: Wan, Shaohua, Liang, Yan, Zhang, Yin
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Ltd 01.11.2018; Elsevier BV
• Subjects: Artificial neural networks; Blindness; Classification; Convolutional neural networks; Diabetes; Diabetic retinopathy; Fundus images classification; Image classification; Image detection; Image processing systems; Image segmentation; Medical diagnosis; Model accuracy; Neural networks; Transfer learning; Diabetic retinopathy; Fundus images classification; Convolutional neural networks; Transfer learning

Diabetic retinopathy (DR) is a common complication of diabetes and one of the major causes of blindness in the active population. Many of the complications of DR can be prevented by blood glucose control and timely treatment. Since the varieties and the complexities of DR, it is really difficult for...