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. 2004:2004:1624-7.
doi: 10.1109/IEMBS.2004.1403492.

Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy

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Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy

C I Sánchez et al. Conf Proc IEEE Eng Med Biol Soc. 2004.

Abstract

An automatic method to detect hard exudates, a lesion associated with diabetic retinopathy, is proposed. The algorithm found on their color, using a statistical classification, and their sharp edges, applying an edge detector, to localize them. A sensitivity of 79.62% with a mean number of 3 false positives per image is obtained in a database of 20 retinal image with variable color, brightness and quality. In that way, we evaluate the robustness of the method in order to make adequate to a clinical environment. Further efforts will be done to improve its performance.

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