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Diabetic Retinopathy (DR) is a major cause of blindness, when a disease strikes the retina due to diabetes. Early detection of retinopathy can rescue patients from vision loss. Therefore, in this paper we propose an automatic severity level assessment of the diabetic retinopathy using innovative image processing techniques combined with a multi-layered artificial neural network model for classification of retina images. The color retina images are collected from the standard DIARECTDB1 anddoi:10.5120/ijca2018916244 fatcat:ybu5us3nvfafrl4hvrwbowzr64