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Deep Learning Empowered Fight Against COVID-19: A Survey

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Next Generation Healthcare Informatics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1039))

Abstract

In recent times, COVID-19 disease has created panic around the world. In the current situation, the early detection of COVID-19 disease saves several lives. This virus impacts a person’s respiratory system and creates patchy white shadows in the lungs. The most effective artificial intelligence techniques for analyzing chest X-ray images for efficient and reliable COVID-19 screening are deep learning/machine learning. In this study, we cover the essential deep learning empowered approaches involved in COVID-19 supplements.

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Authors and Affiliations

  1. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India

    Chiranji Lal Chowdhary

  2. Department of Electrical Engineering, Chandigarh University, Mohali, Punjab, 140413, India

    Harpreet Kaur Channi

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Correspondence to Chiranji Lal Chowdhary .

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Editors and Affiliations

  1. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India

    B. K. Tripathy

  2. Department of Mathematics and Computer Science, St. Mary’s University, Halifax, NS, Canada

    Pawan Lingras

  3. Bharti School of Telecommunications Technology and Management, Indian Institute of Technology, New Delhi, India

    Arpan Kumar Kar

  4. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India

    Chiranji Lal Chowdhary

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Chowdhary, C., Channi, H. (2022). Deep Learning Empowered Fight Against COVID-19: A Survey. In: Tripathy, B.K., Lingras, P., Kar, A.K., Chowdhary, C.L. (eds) Next Generation Healthcare Informatics. Studies in Computational Intelligence, vol 1039. Springer, Singapore. https://doi.org/10.1007/978-981-19-2416-3_14

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