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An Improved Medical Decision Support System to Identify the Diabetic Retinopathy Using Fundus Images

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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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Acknowledgement

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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Authors and Affiliations

  1. Department of ECE, The Rajaas Engineering College, Vadakkankulam, 627116, India

    S. Jerald Jeba Kumar

  2. Center for Advanced Research, Muthayammal Engineering College, Rasipuram, 637408, India

    M. Madheswaran

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  1. S. Jerald Jeba Kumar
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  2. M. Madheswaran
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Correspondence to M. Madheswaran.

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Kumar, S.J.J., Madheswaran, M. An Improved Medical Decision Support System to Identify the Diabetic Retinopathy Using Fundus Images. J Med Syst 36, 3573–3581 (2012). https://doi.org/10.1007/s10916-012-9833-3

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  • DOI: https://doi.org/10.1007/s10916-012-9833-3

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