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ICETTR-2013
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Paper Title : Diabetic Retinopathy using Image Processing Detection, Classification and Analysis
Author Name : Snehal P. Savarkar , Namrata Kalkar , S.L.Tade
Abstract : Diabetic retinopathy is one of the complicated and crucial diagnosis step in diabetes. That develops in most of the patients with longstanding illness, and the leading cause of blindness in the developed countries. Effective treatments for diabetes are available, though it requires early diagnosis and the continuous monitoring of diabetic patients. Manual grading of these images is slow and resource demanding to determine the severity . In this work we are not only focusing on the early detection of DR but also continuous monitoring of DR using digital image processing. The presence of micro aneurysms (MAs) on the Retina is the first and most characteristic symptom of this disease. The recognition of MAs is an essential step in the diagnosis. In proposed method Diagnosis of DR is performed by the evaluation of retinal (fundus) images.
Keywords : Biomedical image processing, image classification, pattern recognition.
Cite this article : Snehal P. Savarkar , Namrata Kalkar , S.L.Tade " Diabetic Retinopathy using Image Processing Detection, Classification and Analysis " ,ICETTR-2013 ,Page No : 278-281.