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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 |
Files in This Item:
File | Description | Size | Format | |
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ITFEC024-14.pdf | ITFEC024-14 | 664.7 kB | Adobe PDF | ![]() View/Open |
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