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Exudate Detection in Diabetic Retinopathy by ramadurai123 is a document available to read on EtoBox.

This document presents a method for detecting exudates from retinal images of patients with diabetic retinopathy using supervised machine learning. It involves preprocessing images using contrast enhancement and color space conversion, segmenting images using k-means clustering, extracting features from exudate regions, and classifying exudates using support vector machines. Performance is evaluated based on sensitivity, specificity, and other metrics by comparing results to ground truths from retinal image

Author
ramadurai123
Language
EN