Exudate detection for diabetic retinopathy with circular Hough transformation and convolutional neural networks

作者：

Highlights：

• The CNN model, with the circular Hough transformation, was applied for the first time on retinal images.

• The CNN model was used together with image processing methods to increase the success rate.

• The success rate of exudate detection is 99.18%.

• Developing a clinical decision support system to aid practitioners.

摘要

•The CNN model, with the circular Hough transformation, was applied for the first time on retinal images.•The CNN model was used together with image processing methods to increase the success rate.•The success rate of exudate detection is 99.18%.•Developing a clinical decision support system to aid practitioners.

论文关键词：Exudate,Circular Hough transform,Convolutional neural network

论文评审过程：Received 4 June 2018, Revised 9 July 2018, Accepted 25 July 2018, Available online 27 July 2018, Version of Record 4 August 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.053