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Computational Intelligence Against Covid-19 for Diagnosis Using Image Processing Techniques in Healthcare Sector

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How COVID-19 is Accelerating the Digital Revolution

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Abstract

Coronavirus 2019 (COVID-19) medical images detection and classification are used in artificial intelligence (AI) techniques. Few months back, from the observation it is witnessed that there is a rapid increase in using AI techniques for diagnosing COVID-19 with chest computed tomography (CT) images. AI more accurately detects COVID-19; moreover efficiently differentiates this from other lung infection and pneumonia. AI is very useful and has been broadly accepted in medical applications as its accuracy and prediction rates are high. This paper is developed and aims to fight against corona through AI using computational intelligence in detecting and classifying COVID-19 using Densnet-121 architecture on chest CT images from a global diverse multi-institution dataset. Furthermore, data from clinics and images from medical applications improve the performance of the proposed approach and provide better response with practical applications. Classification performance was evaluated by confusion matrices followed by overall accuracy, precision, recall and specificity for precisely classifying COVID-19 against any condition.

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Author information

Authors and Affiliations

  1. School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India

    Manikandan Ramachandran, Rajkumar Kulandaivel, Hariharan Kalyanaraman & Ambeshwar Kumar

  2. Department of Computer Science, Sri Aravindar Engineering College, Villupuram District, Tamil Nadu, India

    Murugan Subramanian

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  1. Manikandan Ramachandran
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  2. Rajkumar Kulandaivel
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  3. Hariharan Kalyanaraman
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  4. Murugan Subramanian
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  5. Ambeshwar Kumar
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Editor information

Editors and Affiliations

  1. Vels Institute of Science, Technology and Advanced Studies, Chennai, India

    R. Anandan

  2. Department of Information Technology, Vels Institute of Science, Technology and Advanced Studies, Chennai, India

    G. Suseendran

  3. Department of CS, Tennessee State University, Nashville, TN, USA

    Pushpita Chatterjee

  4. School of Computer Science (SCS), Taylor’s University, Selangor, Malaysia

    Noor Zaman Jhanjhi

  5. Department of CS&DS, School of Applied Computational Sciences Meharry Medical College, Nashville, TN, USA

    Uttam Ghosh

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Ramachandran, M., Kulandaivel, R., Kalyanaraman, H., Subramanian, M., Kumar, A. (2022). Computational Intelligence Against Covid-19 for Diagnosis Using Image Processing Techniques in Healthcare Sector. In: Anandan, R., Suseendran, G., Chatterjee, P., Jhanjhi, N.Z., Ghosh, U. (eds) How COVID-19 is Accelerating the Digital Revolution. Springer, Cham. https://doi.org/10.1007/978-3-030-98167-9_6

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  • DOI: https://doi.org/10.1007/978-3-030-98167-9_6

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  • Publisher Name: Springer, Cham

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