Author : Anupriya.G 1
Date of Publication :30th April 2018
Abstract: Optical coherence tomography (OCT) is the latest imaging technology with applications in medicine, biology as well as materials investigations. Over the time, diabetes can lead to serious problems in the blood vessels, retina, nerves, brain and eyes. These problems can lead to Diabetic macular edema (DME) causing the problem in the eye area to resolve this, Segmentation of fluid in optical coherence tomography images is implemented. Segmentation of OCT images is done using neutrosophic set and graph algorithm. Graph algorithm is applied to the neutrosophic set in order to segment the inner layers of the eye and identify the fluid regions. Cluster computation is done using the cost function method to implement cluster based fluid segmentation. Finally, by ignoring the very small regions and middle layers finally the fluid regions are obtained for the diagnosis of DME.
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