International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,August 2017,

Topic : Detection of Red Lesions For Diabetic Retinopathy In Telemedicine Context

Authors:Kazi Syed Naseeruddin Mustafa || Prof.SushilKumar N. Holambe

Abstract:In this paper we present the Red Lesion Detection for diabetic retinopathy in telemedicine context. The method used in this in this paper is the process of morphological image flooding. The development of an automatic telemedicine system for computer-aided screening and grading of diabetic retinopathy depends on reliable detection of retinal lesions in fundus images Signs of DR include red lesions such as micro aneurysms and intraretinal hemorrhages, and white lesions, such as exudates and cottonwool spots. This paper concerns only the red lesions, which are among the first unequivocal signs of DR. Therefore, their detection is critical for a prescreening system.

Keywords: Diabetic retinopathy, fundus IMAGING, lesion detection, retina, screening

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DOI: 01.1617/vol4/iss8/pid85432


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799


ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


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