An Improved Medical Decision Support System to Identify the Diabetic Retinopathy Using Fundus Images
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An improved Computer Aided Clinical Decision Support System has been developed to classify the retinal images using Neural Network and presented in this paper. The Optic Disc Parameters, thickness of the blood vessels, main vessel, and branch vessel and vein diameter have been extracted. Various types of Neural Network have been used for classification. The percentage of False Acceptance Rate and False Rejection Rate of the SVM classifier is found less than other classifiers. The accuracy of the proposed system has been verified and found to be 97.47%.
KeywordsGabor filtering Adaptive histogram equalization Optic disc measurement RGB segmentation OCT Skeletonization Vein diameter measurement SVM
The authors are thankful to Dr. Bejan Singh, Bejan Singh Eye Hospital, Nagarcoil, India for providing required images and clinical suggestions to carry out the present research.
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