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  Published Paper Details:

  Paper Title

COVID DETECTION USING MEDICAL IMAGES

  Authors

  Garima Valecha,  Mir Taimur,  Deepsandhya,  Lakhvinder Singh,  Bhavani K

  Keywords

Deep Learning, Convolutional Neural Network, ResNet, Inception V3. Machine Learning

  Abstract


Innovation progressions have a fast and colossal impact on each field of life, be it clinical field or different other various fields. Man-made reasoning has portrayed the promising outcomes in medical services through its dynamic by examining the information. Coronavirus has influenced very in excess of 100 nations during a question of no time. Individuals from everywhere the world are exceptionally helpless against its approaching results in the coming future. It is basic to foster a control framework that will recognize the Covid. One of the answers for control the momentum ruin can be the finding of infection with the assistance of different AI instruments. A clinical examination of COVID-19 infected people revealed that these individuals are significantly harmed by lung illness as a result of engaging with this virus. Chest x-ray (radiography) and chest CT are more powerful imaging techniques for identifying lurch-related problems. In any case, an impressive chest x-beam might be a cheaper interaction when contrasted with chest CT. Profound learning is viewed as perhaps the best method of AI, which gives different helpful investigation to contemplate a tremendous measure of chest x-beam pictures that can basically affect screening of Covid-19. In this work, we have taken the perspective on chest x-beam and CT checks for Coronavirus influenced patients just as sound patients and prepared our model to have the option to deliver results for the location of the infection.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2107395

  Paper ID - 208853

  Page Number(s) - d512-d521

  Pubished in - Volume 9 | Issue 7 | July 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Garima Valecha,  Mir Taimur,  Deepsandhya,  Lakhvinder Singh,  Bhavani K,   "COVID DETECTION USING MEDICAL IMAGES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 7, pp.d512-d521, July 2021, Available at :http://www.ijcrt.org/papers/IJCRT2107395.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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