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    Smart and Automated Diagnosis of COVID-19 Using Artificial Intelligence Techniques

    Masoud Alajmi1,*, Osama A. Elshakankiry2, Walid El-Shafai3, Hala S. El-Sayed4, Ahmed I. Sallam5, Heba M. El-Hoseny6, Ahmed Sedik7, Osama S. Faragallah2

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1403-1413, 2022, DOI:10.32604/iasc.2022.021211

    Abstract Machine Learning (ML) techniques have been combined with modern technologies across medical fields to detect and diagnose many diseases. Meanwhile, given the limited and unclear statistics on the Coronavirus Disease 2019 (COVID-19), the greatest challenge for all clinicians is to find effective and accurate methods for early diagnosis of the virus at a low cost. Medical imaging has found a role in this critical task utilizing a smart technology through different image modalities for COVID-19 cases, including X-ray imaging, Computed Tomography (CT) and magnetic resonance image (MRI) that can be used for diagnosis by radiologists. This paper combines ML with… More >

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