IJRCS – Volume 3 Issue 4 Paper 6


Author’s Name : Amritansh Saxena | Gunjan Pahuja 

Volume 03 Issue 04  Year 2016  ISSN No:  2349-3828  Page no: 18-24



There is an aggregating interest in development of the automatic medical diagnosis systems because of the advancement in the computer technology. The knowledge regarding health and disease is required at higher rate for the accurate medical diagnosis. The Diabetic Retinopathy is one of the most common problems that may lead to blindness and it can be prevented or cured if detected at the earlier stage. The presence of Diabetic Retinopathy can be detected by its different signs; the most distinctive is the presence of cotton wool and exudates which are bright lesions. It is necessary to localize the presence of optic disk and the structure of blood vessels. They play a very important role in the accurate detection and classification of cotton wools and exudates. This Research Work proposes a computer aided system which can be used for detection of exudates. The Research Work presents various algorithms for fundus retinal images preprocessing, blood vessel detection, optic disk localization, lesion detection, Detection of presence of diabetic retinopathy with the help of neural network. The developed method is tested on publically available STARE database and the performance metrics is calculated. 


Diabetic Retinopathy; Foveal avascular zone; Medical image analysis; Retinal fundus images; Panretinal Photocoagulation; Microaneurysms


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