Deep-learning-based automatic computer-aided diagnosis system for diabetic retinopathy
Abstract
The high-pace rise in advanced computing and imaging systems has given rise to a new research dimension called computer-aided diagnosis (CAD) system for various biomedical purposes. CAD-based diabetic retinopathy (DR) can be of paramount significance to enable early disease detection and diagnosis decision. Considering the robustness of deep neural networks (DNNs) to solve highly intricate classification problems, in this paper, AlexNet DNN,...
Paper Details
Title
Deep-learning-based automatic computer-aided diagnosis system for diabetic retinopathy
Published Date
Aug 31, 2017
Volume
8
Issue
1
Pages
41 - 57
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