Concatenation of pre‐trained convolutional neural networks for enhanced covid‐19 screening using transfer learning technique

Oussama El Gannour, Soufiane Hamida, Bouchaib Cherradi*, Mohammed Al‐sarem, Abdelhadi Raihani, Faisal Saeed, Mohammed Hadwan*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    42 Citations (SciVal)
    Original languageEnglish
    Article number103
    JournalElectronics (Switzerland)
    Volume11
    Issue number1
    DOIs
    Publication statusPublished (VoR) - 1 Jan 2022

    Funding

    Acknowledgments: The researchers would like to thank the Deanship of Scientific Research, Qas‐ sim University, for funding the publication of this project. The researchers would like to thank the Deanship of Scientific Research, Qassim University, for funding the publication of this project.

    FundersFunder number
    Qas‐ sim University
    Qassim University
    Deanship of Scientific Research, King Saud University

      Keywords

      • Concatenation technique
      • Convolutional neural network
      • Coronavirus
      • COVID‐19
      • Feature extraction
      • Machine learning
      • Transfer learning

      Fingerprint

      Dive into the research topics of 'Concatenation of pre‐trained convolutional neural networks for enhanced covid‐19 screening using transfer learning technique'. Together they form a unique fingerprint.

      Cite this