Detection of Diabetic Retinopathy using Machine Learning

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Avni Singhal, Vimal Kumar, Niranjan Lal

Abstract

Diabetic retinopathy (DR) is an eye condition that occurs when blood vessel damage in the retina. The blurriness, floaters, dark areas of vision and difficulty perceiving colours are symptoms of such disease.  Here, we proposed a machine learning based approach for diabetic retinopathy detection. In the paper, our proposed methodology is divided into several stages viz., pre-processing, segmentation, feature extraction and classification. The proposed model is simulated in MATLAB and the analysis of results is performed with in terms of accuracy, precision and recall. Our scheme outperforms over existing schemes in terms of above parameters.

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