IJBTT

Diabetic Macular Edema Detection using Graph Theory and Retinal Layer Features

	International Journal of Engineering Trends and Technology (IJETT)
	© 2017 by IJETT Journal
	Volume-49 Number-6
	Year of Publication : 2017
	Authors : Sheela. N., L. Basavaraj
	DOI :  10.14445/22315381/IJETT-V49P255

Citation 

Sheela. N., L. Basavaraj "Diabetic Macular Edema Detection using Graph Theory and Retinal Layer Features", International Journal of Engineering Trends and Technology (IJETT), V49(6),363-368 July 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Diabetic Mellitus is a disease which can affect the functioning of different organs in the body such as heart, kidney, retina etc. When this disease affects the eye it leads to a condition called Diabetic Retinopathy and this disease in turn may lead to a disease called Diabetic Macular Edema (DME). If DME is left untreated it may lead to vision loss. In this work, a method of automated detection of DME from retinal images has been proposed. Retinal layer in the Optical Coherence Tomography (OCT) images are first segmented using graph based method. Then, a set of 30 features are extracted from the retina and this has been given to different forms of Support Vector Machine (SVM) for the classification purpose. SVM with polynomial order 2 gives the best result with 96.66% accuracy.

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Keywords
Diabetic Macular Edema, Optical Coherence Tomography, Graph Theory, Retinal features, Support Vector Machine.