Automatic Detection of Diabetic Retinopathy by Using Evolutionary Computation Algorithm Based on Feature Extraction

Abstract:

According to current status Diabetes is the third leading cause of death after cancer and heart diseases. The serious complications of uncontrolled diabetes include kidney damage, eye damage, nerve disease and stroke. Diabetic retinopathy (DR) is a common retinal problem associated with diabetes. This paper focuses on Diabetic Retinopathy and finds the exudates parts in the eye by implementing combinations of global optimization techniques such as Particle Swarm Optimization (PSO) based on feature extraction. It can also be helpful in improving the performance by accuracy, sensitivity and specificity for detecting the Diabetic Retinopathy when compare to other traditional methods.

• Periodical: Applied Mechanics and Materials (Volume 573)
• Pages: 819-824
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.573.819
• Online since: June 2014
• Authors: K. Latha, S. Gowri Durga*
• Keywords: Diabetic Retinopathy, Exudates, Eye Damage, Feature Extraction, Optimization Technique

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