zzz. AUTOMATIC EXUDATES DETECTION FROM NON-DILATED DIABETIC RETINOPATHY
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nivaz deen
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#1
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
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project report tiger
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#2
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

see more from
siit.tu.ac.th/bunyarit/publications/2009_sensors_FCM.pdf
mdpi1424-8220/9/3/2148/pdf
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