眼底(子宫)
糖尿病性视网膜病变
页眉
医学
视网膜
视网膜病变
计算机科学
疾病
眼科
人工智能
验光服务
糖尿病
内科学
内分泌学
物理
光学
计算机网络
作者
Xiaohui Li,Haiying Xia,Ling Lü
标识
DOI:10.1145/3529466.3529468
摘要
Although there is no distinctive header, this is the abstract. Diabetic retinopathy is an ophthalmological disease that causes bleeding in the fundus and loss of vision due to damage to blood vessels in the retina. It is one of the main causes of vision loss in the world. To slow down the development of the disease, early screening of the eyeball is needed. This paper proposes a new method of classification, automatic screening and accurate diagnosis of diabetic retinopathy based on convolutional neural network. Specifically, five attention mechanisms such as BAM, CBAM, ECA, CA and SeNet are used to classify diabetic retinopathy. Through comparative experiments, it is found that ECA-CBAM cross-combination model has the best classification performance.
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