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COVID-19 Detection Using Chest X-ray Images

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Big Data, Machine Learning, and Applications (BigDML 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1053))

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Abstract

COVID-19 is a respiratory infectious disease discovered in Wuhan, China, which later turned out to be a pandemic disease. The disease is spreading at a rate higher than what the world is prepared for, and hence, there is a huge shortage in testing and resources for it. To overcome this situation, the artificial intelligence community has been working hard to make use of some advanced technology to detect the presence of novel coronavirus. In our paper, we propose an ensemble 3-class classifier model with a stochastic hill-climbing optimisation algorithm for detecting infection in chest X-ray images. The novelty of our work involves the selection of optimal feature set from a feature set of handcrafted features and VGG-16 features using optimisation technique which is followed by a soft voting based ensemble classification. The proposed model achieved an overall F1-score of 0.997. Our dataset has Chest X-Ray images of all age groups and provides a more reliable and consistent result that can be used for the timely detection of COVID-19.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India

    Gautham Santhosh, S. Adarsh & Lekha S. Nair

Authors
  1. Gautham Santhosh
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  2. S. Adarsh
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  3. Lekha S. Nair
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Corresponding author

Correspondence to Gautham Santhosh .

Editor information

Editors and Affiliations

  1. Computer Science & Engineering, National Institute of Technology Silchar, Silchar, Assam, India

    Malaya Dutta Borah

  2. Computer Science & Engineering, National Institute of Technology Silchar, Silchar, Assam, India

    Dolendro Singh Laiphrakpam

  3. Computer Science & Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India

    Nitin Auluck

  4. Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Santhosh, G., Adarsh, S., Nair, L.S. (2024). COVID-19 Detection Using Chest X-ray Images. In: Borah, M.D., Laiphrakpam, D.S., Auluck, N., Balas, V.E. (eds) Big Data, Machine Learning, and Applications. BigDML 2021. Lecture Notes in Electrical Engineering, vol 1053. Springer, Singapore. https://doi.org/10.1007/978-981-99-3481-2_20

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  • DOI: https://doi.org/10.1007/978-981-99-3481-2_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3480-5

  • Online ISBN: 978-981-99-3481-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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