Effective methods of diabetic retinopathy detection based on deep convolutional neural networks

Effective methods of diabetic retinopathy detection based on deep convolutional neural networks
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基于深度卷积神经网络的糖尿病视网膜病变有效检测方法

DOI:
10.1007/s11548-021-02498-8
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发表时间:
2021-10
影响因子:
3
通讯作者:
Zhong Zhou
Zhong Zhou
中科院分区:
工程技术3区
文献类型:
--
作者:
Yunchao Gu;Xinliang Wang;Junjun Pan;Zhifan Yong;Shihui Guo;Tianze Pan;Yonghong Jiao;Zhong Zhou

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糖尿病视网膜病变(DR)已成为全球失明的主要原因。在临床实践中,眼科医生对DR的检测往往需要花费大量的时间和精力。有必要开发一种基于数据的自动辅助诊断方法
Diabetic retinopathy (DR) has become the leading cause of blindness worldwide. In clinical practice, the detection of DR often takes a lot of time and effort for ophthalmologist. It is necessary to develop an automatic assistant diagnosis method based on
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