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DETECTION AND CLASSIFICATION OF DIABETIC RETINOPATHY USING ADAPTIVE BOOSTING AND ARTIFICIAL NEURAL NETWORK

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Figure

Fig. 1.  Methodology of analyzing the performance of the classifiers
Fig. 2.   Unprocessed retinal fundus image (left) and green channel image (right)
Fig. 5.  Segmented exudate after removal of blood vessel and optic disc
TABLE I: RESULTS OF ADAPTIVE BOOSTING ALGORITHM WITH VARYING DATASETS

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