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Diabetic Retinopathy Detection Techniques by Meenachi Sundaram is a document available to read on EtoBox.

The document discusses a method for detecting Diabetic Retinopathy (DR) using image processing techniques, specifically through the extraction of blood vessels from retinal fundus images. Utilizing MATLAB and the Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm, the proposed method achieves a detection accuracy of 98%. The study highlights the increasing prevalence of diabetes and its associated risk of vision loss due to DR, emphasizing the need for effective detection methods.

Author
Meenachi Sundaram
Language
EN