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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
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Paper Title
COVID-19 DETECTION FROM CHEST X-RAY IMAGES USING CNN
Authors
S.Sai Manish Rao, N.Vikas Reddy, M.Nihar, Dr. Sunil Bhutada, K Vigneswara Reddy
Keywords
Chest X-Ray, COVID-19, Corona Virus, Convolutional Neural Networks, Machine Learning, Deep Learning
Abstract
COVID-19 is an infectious disease caused by a newly discovered corona virus. The pandemic has become the cause for a dramatic loss of human life. Though there are various vaccines that are being manufactured for coronavirus, lakhs of cases are still arising worldwide. So, to prevent the spread of the pandemic, quick and effective testing is necessary. Many researches have recently shown that chest x-rays are found to be highly predictive of COVID-19. Though the chest X-Rays cannot solely be used for determining COVID-19, the persons with positive results could be quickly isolated due to the instantaneous nature of the chest X-Ray testing. In this work, we are trying to predict whether a person has COVID-19 from their chest X-Ray image by image classification using Convolutional Neural Networks learning.
IJCRT's Publication Details
Unique Identification Number - IJCRT2106147
Paper ID - 208370
Page Number(s) - b191-b196
Pubished in - Volume 9 | Issue 6 | June 2021
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.27206
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
S.Sai Manish Rao, N.Vikas Reddy, M.Nihar, Dr. Sunil Bhutada, K Vigneswara Reddy, "COVID-19 DETECTION FROM CHEST X-RAY IMAGES USING CNN", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.b191-b196, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106147.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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