A Survey on Automatic Assessment of Diabetic Retinopathy

M.Ramya*, P.Sinthiya**
* P.G Student, Department of ECE, M.Kumarasamy College of Engineering, Karur
** Asst.Professor, Department of ECE, M.Kumarasamy College of Engineering, Karur
Periodicity:January - March'2014
DOI : https://doi.org/10.26634/jip.1.1.2701

Abstract

Recently, there has been many researches on the fundus image for the detection of abnormality. Diabetic Retinopathy (DR) is the damage of retina caused by complication of diabetes, which results in complete vision loss. Macula is responsible for the pinpoint vision. Diabetic Macular Edema (DME) is the major problem for the diabetic patients. Several techniques have been reported about an automated solution for the diabetic macular edema detection. This paper outlines the various methods for the detection of macular edema. The normal retinal images are trained with different classifiers for the classification of abnormality. Our survey describes the different classifiers and algorithms to identify the normal and abnormal cases from the fundus images. It motivates further for future development.

Keywords

Fundus, Retina, Diabetic Macular Edema, Diabetic Retinopathy, Hard Exudates

How to Cite this Article?

Ramya, M., and Sinthiya, P. (2014). A Survey on Automatic Assessment of Diabetic Retinopathy. i-manager’s Journal on Image Processing, 1(1), 30-37. https://doi.org/10.26634/jip.1.1.2701

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