Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/7339
Title: Novel Approach for Automated Diagnosis of Diabetic Retinopathy
Authors: Chachan, Manmohan S.
Savani, Vijay G.
Keywords: Retina
Retinopathy
Blood Vessels
Diabetes
Biomedical Imaging
Euler Number
Computer Aided Diagnosis
Medical Image Processing
Feature Extraction
Eye
Contour Detection
EC Faculty Paper
Faculty Paper
ITFEC024
ITFEC039
Issue Date: 2016
Publisher: STM Journals
Series/Report no.: ITFEC024-14;
Abstract: Automated and early diagnosis of diabetic retinopathy is a crucial need. Diabetic retinopathy (DR) is the major cause of blindness among people. DR is a progressive disease classified according to the presence of various clinical abnormalities. It doesn’t have any visible symptoms till the disease is at late stage. Therefore, it necessary to detect DR at early stage and to ensure proper treatment. For early detection of DR, different automated diagnosis systems have been designed. A number of studies have investigated DR and this paper presents novel approach for automated diagnosis of DR which is implemented with the help of contour detection algorithm in OpenCV and Raspberry Pi used as hardware.
Description: Journal of Electronic Design Technology, Vol. 7 (1), 2016, Page No. 9 - 13
URI: http://hdl.handle.net/123456789/7339
ISSN: 2229-6980 (Online)
2321-4228 (Print)
Appears in Collections:Faculty Papers, EC

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