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nivaz deen
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Posts: 1
Joined: Feb 2010
03-02-2010, 03:06 AM

i am realizing a thesis on zzz. AUTOMATIC EXUDATES DETECTION FROM NON-DILATED DIABETIC RETINOPATHY in matlab ....provide me with sufficient information
project report tiger
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Posts: 1,062
Joined: Feb 2010
03-02-2010, 06:43 AM

Abstract: Exudates are the primary sign of Diabetic Retinopathy. Early detection can potentially reduce the risk of blindness. An automatic method to detect exudates from low-contrast digital images of retinopathy patients with non-dilated pupils using a Fuzzy C-Means (FCM) clustering is proposed. Contrast enhancement preprocessing is applied before four features, namely intensity, standard deviation on intensity, hue and a number of edge pixels, are extracted to supply as input parameters to coarse segmentation using FCM clustering method. The first result is then fine-tuned with morphological techniques. The detection results are validated by comparing with expert ophthalmologistsâ„¢ hand-drawn ground-truths. Sensitivity, specificity, positive predictive value (PPV), positive likelihood ratio (PLR) and accuracy are used to evaluate overall performance. It is found that the proposed method detects exudates successfully with sensitivity

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