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    ARTICLE

    A Robust Automated Framework for Classification of CT Covid-19 Images Using MSI-ResNet

    Aghila Rajagopal1, Sultan Ahmad2,*, Sudan Jha3, Ramachandran Alagarsamy4, Abdullah Alharbi5, Bader Alouffi6

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 3215-3229, 2023, DOI:10.32604/csse.2023.025705

    Abstract Nowadays, the COVID-19 virus disease is spreading rampantly. There are some testing tools and kits available for diagnosing the virus, but it is in a limited count. To diagnose the presence of disease from radiological images, automated COVID-19 diagnosis techniques are needed. The enhancement of AI (Artificial Intelligence) has been focused in previous research, which uses X-ray images for detecting COVID-19. The most common symptoms of COVID-19 are fever, dry cough and sore throat. These symptoms may lead to an increase in the rigorous type of pneumonia with a severe barrier. Since medical imaging is not suggested recently in Canada… More >

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