Chinese Medical Sciences Journal ›› 2019, Vol. 34 ›› Issue (2): 120-132.doi: 10.24920/003587

• Review • Previous Articles     Next Articles

A Survey on Intelligent Screening for Diabetic Retinopathy

Dai Yulan1, 3, Zhu Chengzhang2, 3, *(), Shan Xi1, 3, Cheng Zhenzhen1, 3, Zou Beiji1, 3   

  1. 1. School of Computing Science and Engineering
    2. School of Literature and Journalism, Central South University, Changsha 410083, China
    3. Hunan Province Engineering Technology Research Center of Computer Vision and Intelligent Medical Treatment, Changsha 410083, China
  • Received:2019-03-22 Accepted:2019-05-06 Published:2019-05-20 Online:2019-05-20
  • Contact: Zhu Chengzhang E-mail:anandawork@126.com
We survey DR screening from four perspectives: 1) public color fundus image datasets of DR, 2) DR classification and related lesion-extraction approaches, 3) existing computer-aided systems for DR screening, and 4)  existing issues, challenges, and research trends. Our goal is to provide insights for future research directions on DR intelligent screening.

Diabetic retinopathy (DR) is one of the leading causes of vision loss and can be effectively avoided by screening, early diagnosis and treatment. In order to increase the universality and efficiency of DR screening, many efforts have been invested in developing intelligent screening, and there have been great advances. In this paper, we survey DR screening from four perspectives: 1) public color fundus image datasets of DR; 2) DR classification and related lesion-extraction approaches; 3) existing computer-aided systems for DR screening; and 4) existing issues, challenges, and research trends. Our goal is to provide insights for future research directions on DR intelligent screening.

Key words: diabetes, retinopathy, fundus images, intelligent screening

Funding: Supported by the Natural Science Foundation of Hunan Province (No. 2018JJ3686) and the Fundamental Research Fund for the Central Universities of Central South University (No. 2019zzts591).

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