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    ARTICLE

    Classification Framework for COVID-19 Diagnosis Based on Deep CNN Models

    Walid El-Shafai1, Abeer D. Algarni2,*, Ghada M. El Banby3, Fathi E. Abd El-Samie1,2, Naglaa F. Soliman2,4

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1561-1575, 2022, DOI:10.32604/iasc.2022.020386

    Abstract Automated diagnosis based on medical images is a very promising trend in modern healthcare services. For the task of automated diagnosis, there should be flexibility to deal with an enormous amount of data represented in the form of medical images. In addition, efficient algorithms that could be adapted according to the nature of images should be used. The importance of automated medical diagnosis has been maximized with the evolution of COVID-19 pandemic. COVID-19 first appeared in China, Wuhan, and then it has exploded in the whole world with a very bad impact on our daily life. The third wave of… More >

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