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Issue: July 2018

Volume 3 | Issue 7

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Paper Title: Diagnosis Of Diabetic Retinopathy In Retinal Fundus Images Using Segmentation (Hybrid Algorithm)
Authors Name: Madanu Bala Kishore , Ummadi Sathish Kumar
Unique Id: IJRTI1707016
Published In: Volume 2 Issue 7, July-2017
Abstract: Diagnosis of Diabetic Retinopathy is a critical step in the segmentation of retinal blood vessel in the Retina. Diabetic Retinopathy is a leading foundation of vision loss in diabetic patients. Diabetic Retinopathy mainly caused due to the damage of retinal blood vessels in the diabetic patients. It is imperative to detect and segment the retinal blood vessels for Diabetic Retinopathy detection and diagnosis, which prevents earlier vision loss in diabetic patients. In this paper, we present a new method for automatically segmenting blood vessels in retinal fundus images. Depend on the segmenting methods, their strengths and weaknesses are estimated; we proposed a hybrid algorithm that combines the confidence outputs of each basic algorithm. The performance of each algorithm was tested on the DRIVE dataset and achieved 73.43% sensitivity, 97.77% specificity, 94.46% accuracy, and 83.85% precision.
Keywords: Matched Filtering, Supervised Pattern Recognition, Scale-Space analysis, Multi-Scale Edge-Detection, Morphological Processing.
Cite Article: "Diagnosis Of Diabetic Retinopathy In Retinal Fundus Images Using Segmentation (Hybrid Algorithm)", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.2, Issue 7, page no.90 - 96, July-2017, Available :
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Publication Details: Published Paper ID: IJRTI1707016
Registration ID:170430
Published In: Volume 2 Issue 7, July-2017
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
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