Automatic grading of diabetic maculopathy severity levels

Siddalingaswamy, PC and Prabhu, G K (2010) Automatic grading of diabetic maculopathy severity levels. In: International Conference on Systems in Medicine and Biology, 16-18 December 2010, IIT Kharagpur, India.

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Abstract

Diabetic maculopathy is the major cause of irreversible vision loss due to retinopathy and is found in 10% of the world diabetic population. Compulsory mass screening will help to identify the maculopathy at early stage and reduce the risk of severe vision loss. In this paper, we present a computer based system for automatic detection and grading of diabetic maculopathy severity level without manual intervention. The optic disc is detected automatically and its location and diameter is used to detect fovea and to mark the macular region respectively. Next, hard exudates are detected using clustering and mathematical morphological techniques. Based on the location of exudates in marked macular region the severity level of maculopathy is classified into mild, moderate and severe. The method achieves a sensitivity of 95.6% and specificity of 96.15% with 148 retinal images for detecting maculopathy stages in fundus images as comparable to that of human expert

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Diabetic maculopathy;Computer aided diagnosis;exudates;optic disc
Subjects: Engineering > MIT Manipal > Biomedical
Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 14 Aug 2014 10:08
Last Modified: 14 Aug 2014 10:08
URI: http://eprints.manipal.edu/id/eprint/140377

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