Convolutional Neural Networks for Diabetic Retinopathy

  title={Convolutional Neural Networks for Diabetic Retinopathy},
  author={Harry Pratt and Frans Coenen and Deborah M. Broadbent and Simon Peter Harding and Yalin Zheng},
The diagnosis of diabetic retinopathy (DR) through colour fundus images requires experienced clinicians to identify the presence and significance of many small features which, along with a complex grading system, makes this a difficult and time consuming task. In this paper, we propose a CNN approach to diagnosing DR from digital fundus images and accurately classifying its severity. We develop a network with CNN architecture and data augmentation which can identify the intricate features… CONTINUE READING
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