Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ins.2007.07.020
Title: Identification of different stages of diabetic retinopathy using retinal optical images
Authors: Yun, W.L.
Rajendra Acharya, U.
Venkatesh, Y.V. 
Chee, C.
Min, L.C.
Ng, E.Y.K.
Keywords: Classification
Eye
Features
Feedforward
Image processing
Neural network
Normal
Retinopathy
Issue Date: 2-Jan-2008
Source: Yun, W.L.,Rajendra Acharya, U.,Venkatesh, Y.V.,Chee, C.,Min, L.C.,Ng, E.Y.K. (2008-01-02). Identification of different stages of diabetic retinopathy using retinal optical images. Information Sciences 178 (1) : 106-121. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ins.2007.07.020
Abstract: Diabetes is a disease which occurs when the pancreas does not secrete enough insulin or the body is unable to process it properly. This disease affects slowly the circulatory system including that of the retina. As diabetes progresses, the vision of a patient may start to deteriorate and lead to diabetic retinopathy. In this study on different stages of diabetic retinopathy, 124 retinal photographs were analyzed. As a result, four groups were identified, viz., normal retina, moderate non-proliferative diabetic retinopathy, severe non-proliferative diabetic retinopathy and proliferative diabetic retinopathy. Classification of the four eye diseases was achieved using a three-layer feedforward neural network. The features are extracted from the raw images using the image processing techniques and fed to the classifier for classification. We demonstrate a sensitivity of more than 90% for the classifier with the specificity of 100%. © 2007 Elsevier Inc. All rights reserved.
Source Title: Information Sciences
URI: http://scholarbank.nus.edu.sg/handle/10635/50942
ISSN: 00200255
DOI: 10.1016/j.ins.2007.07.020
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