Indian Journal of Innovations and Developments

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Diabetic Retinopathy Detection and Classification Techniques


Affiliations
1 Dept of computer science and engineering, Hindusthan institute of technology, Coimbatore, India
 

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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  • Dr.S. Sujatha, D. Divya. A novel approach for analyzing diabetes mellitus and non proliferative diabetic retinopathy using tongue. Indian Journal of Innovations and Developments. 2015; 4(2), 2277-5390.

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  • Bob Zhang, B. V. K. Vijaya Kumar, David Zhang. Detecting diabetes mellitus and Non proliferative diabetic retinopathy using tongue color, Texture, and Geometry features. IEEE Transactions on Biomedical Engineering. 2014; 61(2), 491-501.


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  • Diabetic Retinopathy Detection and Classification Techniques

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Authors

S. Ushanandhini
Dept of computer science and engineering, Hindusthan institute of technology, Coimbatore, India
S. Uma
Dept of computer science and engineering, Hindusthan institute of technology, Coimbatore, India
G. Anisha
Dept of computer science and engineering, Hindusthan institute of technology, Coimbatore, India

Abstract


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.

References