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    ARTICLE

    COVID-19 Classification from X-Ray Images: An Approach to Implement Federated Learning on Decentralized Dataset

    Ali Akbar Siddique1, S. M. Umar Talha1, M. Aamir1, Abeer D. Algarni2, Naglaa F. Soliman2,*, Walid El-Shafai3,4

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3883-3901, 2023, DOI:10.32604/cmc.2023.037413

    Abstract The COVID-19 pandemic has devastated our daily lives, leaving horrific repercussions in its aftermath. Due to its rapid spread, it was quite difficult for medical personnel to diagnose it in such a big quantity. Patients who test positive for Covid-19 are diagnosed via a nasal PCR test. In comparison, polymerase chain reaction (PCR) findings take a few hours to a few days. The PCR test is expensive, although the government may bear expenses in certain places. Furthermore, subsets of the population resist invasive testing like swabs. Therefore, chest X-rays or Computerized Vomography (CT) scans are preferred in most cases, and… More >

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