Combining CNN and Grad-Cam for COVID-19 Disease Prediction and Visual Explanation

Hicham Moujahid, Bouchaib Cherradi, Mohammed Al-Sarem, Lhoussain Bahatti, Bakr Assedik Eljialy, Abdullah Alsaeedi, Faisal Saeed

    Research output: Contribution to journalArticlepeer-review

    48 Citations (SciVal)
    Original languageEnglish
    Pages (from-to)723-745
    Number of pages23
    JournalIntelligent Automation & Soft Computing
    Volume32
    Issue number2
    DOIs
    Publication statusPublished (VoR) - 17 Nov 2021

    Funding

    Acknowledgement: We are thankful to the “Centre National pour la Recherche Scientifique et Technique” (CNRST) and the Hassan II University of Casablanca, Morocco, for their support to this work a part of a project entitled “Scientific and Technological Research Support Program in Link with COVID-19” launched in April 2020 (Reference: Letter to the Director of “Ecole Normale Supérieure de l’Enseignement Technique de Mohammedia” dated June 10th 2020).

    FundersFunder number
    Hassan II University of Casablanca
    CENTRE NATIONAL POUR LA RECHERCHE SCIENTIFIQUE ET TECHNIQUE

      Keywords

      • COVID-19; X-ray images; prediction; CNN; Grad-Cam

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