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  Published Paper Details:

  Paper Title

PREPROCESSING OF MULTIMODAL IMAGING DATA FOR COVID-19 DETECTION

  Authors

  Shirin Shahana V,  Jeeshma Janardhanan

  Keywords

Covid-19 detection, Image preprocessing, Multimodal imaging data

  Abstract


Covid-19 is the global pandemic that is adversely affecting the human life in this scenario. World is running for the overcoming this pandemic and for finding better treatments for it. Detecting this disease is major task for medical practitioners now a days. In this study we are focusing on preprocessing stages of multimodal imaging datas, mainly x-rays for the detection of this disease. And this preprocessed images are very helpful for using it in transfer learning methods to detect covid-19. We propose this preprocessing stage for creating an image dataset, which is trustworthy for developing and testing deep learning models for the detection of this disease. Unwanted noise in the images is removed in this stage so that detection can be made using specific features from them. As well as x-ray ,other two multimodal image datasets can be used to preprocess.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTH020016

  Paper ID - 211915

  Page Number(s) - 91-94

  Pubished in - Volume 9 | Issue 10 | October 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Shirin Shahana V,  Jeeshma Janardhanan,   "PREPROCESSING OF MULTIMODAL IMAGING DATA FOR COVID-19 DETECTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 10, pp.91-94, October 2021, Available at :http://www.ijcrt.org/papers/IJCRTH020016.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


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