Indian Journal of Innovations and Developments

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Objectives: The main objective of this research is to find out the diabetic retinopathy from retinal image with better accuracy.

Methods: The analysis has been done by various methods to provide the efficient diabetic retinopathy detection results. The different effective techniques are considered to find the suitable most efficient technique.

Findings: The various research works has been analyzed and evaluated. From the analysis, the Detecting Diabetes Mellitus and Nonproliferative Diabetic Retinopathy from tongue image is found to be better for Diabetic Retinopathy detection and also superior performance is achieved in terms of computational accuracy, precision , recall and Fmeasure.

Application/Improvements: Detecting Diabetes Mellitus and Nonproliferative Diabetic Retinopathy from tongue image are provides better result than other approaches.


Keywords

Diabetic Retinopathy, Feature Extraction, Classification.
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