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. 2012 Dec;36(6):3573-81.
doi: 10.1007/s10916-012-9833-3. Epub 2012 Mar 6.

An improved medical decision support system to identify the diabetic retinopathy using fundus images

S Jerald Jeba Kumar  1 , M Madheswaran
Affiliations

An improved medical decision support system to identify the diabetic retinopathy using fundus images

S Jerald Jeba Kumar et al. J Med Syst. 2012 Dec.

Abstract

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%.

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