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

• 综述 • 上一篇    下一篇

糖尿病视网膜病变的智能筛查

戴玉兰1,3,朱承璋2,3,*(),单希1,3,程真真1,3,邹北骥1,3   

  1. 1. 中南大学 计算机学院,长沙 410083,中国
    2. 中南大学 文学与新闻传播学院,长沙 410083,中国
    3. 中南大学 文学与新闻传播学院,长沙 410083,中国
  • 收稿日期:2019-03-22 接受日期:2019-05-06 出版日期:2019-05-20 发布日期:2019-05-20
  • 通讯作者: 朱承璋 E-mail:anandawork@126.com

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

摘要:

糖尿病视网膜病变是导致失明的主要原因之一,但通过筛查、早期诊断和治疗可以有效避免该并发症的发生。为了提高糖尿病视网膜病变筛查的广泛性和效率,研究者们在智能筛查方面投入了大量的精力,并取得了较大的进展。本文从四个方面对糖尿病视网膜病变的筛查进行了系统地综述: 1) 公共彩色眼底图像数据集;2) 分类及相关病变提取方法;3)现有的计算机辅助筛查系统;4)存在的问题、挑战和研究趋势。希望此文能为糖尿病视网膜病变智能筛查的未来研究方向提供参考。

关键词: 糖尿病, 视网膜病变, 眼底图像, 智能筛查

Abstract:

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

基金资助: 中南大学中央高校基本科研业务费专项基金(No. 2019zzts591);湖南省自然科学基金(No. 2018JJ3686)。

Copyright © 2018 Chinese Academy of Medical Sciences. All right reserved.
 
www.cmsj.cams.cn
京公安备110402430088 京ICP备06002729号-1  Powered by Magtech.

Supervised by National Health & Family Plan Commission of PRC

9 Dongdan Santiao, Dongcheng district, Beijing, 100730 China

Tel: 86-10-65105897  Fax:86-10-65133074 

E-mail: cmsj@cams.cn  www.cmsj.cams.cn

Copyright © 2018 Chinese Academy of Medical Sciences

All right reserved.

京公安备110402430088  京ICP备06002729号-1