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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
COVID-19 DETECTION USING X-RAY IMAGES
Authors
B.S.Murugan, G.Harshitha, A.Chandana, C.Bhuvaneswari
Keywords
Convolutional Neural Networks, Keras, Tensor-flow, Feature Extraction, Sequential Model.
Abstract
The coronavirus 2019(COVID-19), which first occur in wuhan city of China in December 2019, spread quickly around the world and became a plague. It is necessary to detect the positive cases as early as possible so as to prevent the further spread of this disease. Application of convolutional neural networks (CNN) techniques coupled with medical imaging can be helpful for the accurate detection of this disease. In this project a new model for automated COVID-19 detection using raw chest X-ray images is used. The model is developed to supply accurate diagnosis for binary classification (COVID vs No-Findings). Our model produced an accuracy of 98.44%. The sequential model was used to train a model using Keras and Tensorflow. We introduced convolutional layers and implemented different filtering on each layer.
IJCRT's Publication Details
Unique Identification Number - IJCRT2105534
Paper ID - 207282
Page Number(s) - e891-e897
Pubished in - Volume 9 | Issue 5 | May 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
B.S.Murugan, G.Harshitha, A.Chandana, C.Bhuvaneswari, "COVID-19 DETECTION USING X-RAY IMAGES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.e891-e897, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105534.pdf
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Volume 12 | Issue 7
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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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