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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
AUTOMATED DIABETIC RETINOPATHY DETECTION USING PRETRAINED DEEP NEURAL NETWORK
Authors
Yash S Boral, Snehal S Thorat
Keywords
Deep Learning, Diabetic, Diabetic Retinopathy, Convolutional Neural Network
Abstract
Diabetic retinopathy damages the retina of then
patient. It is most frequent in the patients who have had diabetes
for longer than 10 years. This problem is occurring in millions of
people worldwide but medical practitioners and the tools required
for detection of diabetic retinopathy is scare for serving the mass
population. The work already was to serve this problem using the
application of machine learning but the efficiency of machine
learning algorithm depends on the quality of feature extraction
which requires domain knowledge. The work presented in this
paper overcome the problem by using deep learning algorithm
which automatically identifies the pattern and classifies the retina
images into one of the five class based.
IJCRT's Publication Details
Unique Identification Number - IJCRT2101026
Paper ID - 201934
Page Number(s) - 187-194
Pubished in - Volume 9 | Issue 1 | January 2021
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Yash S Boral, Snehal S Thorat, "AUTOMATED DIABETIC RETINOPATHY DETECTION USING PRETRAINED DEEP NEURAL NETWORK", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 1, pp.187-194, January 2021, Available at :http://www.ijcrt.org/papers/IJCRT2101026.pdf
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Volume 12 | Issue 7
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Volume 12 | Issue 7
Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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