International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,May 2016,

Topic : Automatic Retinal Disorder Identification In Diabetic Retinopathy And Maculopathy Using Neural Network

Authors:Sandeep M S || Dr Chandrashekar M Patil

Abstract:Computational methodologies have become a significant part of the real time applications. One specification application which highly depends on the computing techniques is the medical led ophthalmology is a significant branch of biomedical led which requires computer aided automated techniques for pathology identification in human eyes. Eye is the most essential part of the entire creature in this world for vision. So the main intention of carrying this work is to reduce retinal disorders in younger generation. This work proceeds with detecting the disorder present in human eye based on Diabetic retinopathy and other parameter and develops an efficient algorithm to detect retinal disorder using MATLAB..

Keywords: Retinal Disorder Identification,medical led ophthalmology ,pathology identification ,Diabetic retinopathy

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DOI: 01.1617/vol3iss5pid282


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Editor-in-Chief

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

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

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