Classifying Diabetic Retinopathy Based On Medical Fundus Imaging
نویسنده
چکیده
Diabetic retinopathy (DR) is an eye disease caused by disease, diabetes. Diabetic retinopathy (DR) is a microvascular complication that occurs in people with diabetes that causes abnormalities in the retina and can both cause blindness. This study was conducted to build an application that can automatically classify Diabetic Retinopathy in accordance with level, ie normal, non-proliferate diabetic retinopathy (NPDR) and proliferate diabetic retinopathy (PDR). This study uses naïve Bayesian. The test results showed that the application of the method accuracy rate in classifying DR naïve Bayesian based levels, normal, NPDR and PDR reached 97%. Key-Words: diabetic retinopathy, naïve Bayes
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