Automated identification and grading system of diabetic retinopathy using deep neural networks
作者：
Highlights：
• We established a high-quality labelled dataset of DR medical images.
• We developed a novel and well-performing DR recognition and classification system.
• The optimal combination of ensemble model was explored experimentally.
摘要
•We established a high-quality labelled dataset of DR medical images.•We developed a novel and well-performing DR recognition and classification system.•The optimal combination of ensemble model was explored experimentally.
论文关键词：Deep learning,Diabetic retinopathy,Ensemble learning,Fundus images,Image classification,Transfer learning
论文评审过程：Received 31 October 2018, Revised 14 March 2019, Accepted 15 March 2019, Available online 22 March 2019, Version of Record 26 April 2019.
论文官网地址：https://doi.org/10.1016/j.knosys.2019.03.016
