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Diabetic Retinopathy Detection Using Neural Network
Gurani V.K, Ranjan A,
Published in Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
2019
Volume: 8
   
Issue: 10
Pages: 2936 - 2940
Abstract
Now-a-days diabetics are affecting many people and it causes an eye disease called “diabetics retinopathy” but many are not aware of that, so it causes blindness. Diabetes aimed at protracted time harms the blood vessels of retina in addition to thereby affecting seeing ability of an individual in addition to leading to diabetic retinopathy. Diabetic retinopathy is classified hooked on twofold classes, non-proliferative diabetic retinopathy (NPDR) and proliferative diabetic retinopathy (PDR). Finding of diabetic retinopathy in fundus imaginary is done by computer vision and deep learning methods using artificial neural networks. The images of the diabetic retinopathy datasets are trained in neural networks. And based on the training datasets we can detect whether the person has (i)no diabetic retinopathy, (ii) mild non-proliferative diabetic retinopathy, (iii) severe non-proliferative diabetic retinopathy and (iv) proliferative diabetic retinopathy.
About the journal
JournalVOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE International Journal of Innovative Technology and Exploring Engineering
PublisherBlue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
ISSN22783075
Open Access0