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Journal of Scientific and Industrial Research (JSIR) >
JSIR Vol.71 [2012] >
JSIR Vol.71(12) [December 2012] >
| Title: | Performance analysis of screening diabetic retinopathy |
| Authors: | Raja, D Siva Sundhara
Vasuki, S |
| Keywords: | Diabetic retinopathy (DR)
Exudates
Microaneurysms (MA)
Neural Networks |
| Issue Date: | Dec-2012 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | This study presents a new method for screening Diabetic
Retinopathy (DR), is the leading ophthalmic pathological cause of blindness
among people of working age in developed countries. The first manifestations of
DR are tiny capillary dilations known as Microaneurysms (MA) and Exudates. It may
provide an early indication of the risk of the Type –I Diabetes. The various
features of the images of the Retinal Vessels are used to indicate the
different MA’s and Exudates disease processes. Neural Networks and k-means
clustering provide significant benefits in medical research. This Proposed work
deals DR with Segmentation and Classification algorithms for the analysis of
Retina images. This effectiveness and robustness, together with its simplicity
make this Optimized analysis for being integrated into a complete screening
system for early DR detection. It proposes an Optimized Soft Computing
technique approach for screening the Diabetic retinopathy. |
| Page(s): | 804-809 |
| CC License: |  CC Attribution-Noncommercial-No Derivative Works 2.5 India |
| ISSN: | 0975-1084 (Online); 0022-4456 (Print) |
| Source: | JSIR Vol.71(12) [December 2012]
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