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An Effective Deep Learning Model to Discriminate Coronavirus Disease From Typical Pneumonia

Author

Listed:
  • Jumana Waleed

    (Department of Computer Science, College of Science, University of Diyala, Iraq)

  • Ahmad Taher Azar

    (College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia & Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt)

  • Saad Albawi

    (College of Engineering, University of Diyala, Iraq)

  • Waleed Khaild Al-Azzawi

    (Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad, Iraq)

  • Ibraheem Kasim Ibraheem

    (Computer Engineering Techniques Department, Al-Mustaqbal University College, Hilla, Iraq)

  • Ahmed Alkhayyat

    (Department of Computer Technical Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq)

  • Ibrahim A. Hameed

    (Department of ICT and Natural Sciences, Norwegian University of Science and Technology, Alesund, Norway)

  • Nashwa Ahmad Kamal

    (Faculty of Engineering, Cairo University, Giza, Egypt)

Abstract

Current technological advances are paving the way for technologies based on deep learning to be utilized in the majority of life fields. The effectiveness of these technologies has led them to be utilized in the medical field to classify and detect different diseases. Recently, the pandemic of coronavirus disease (COVID-19) has imposed considerable press on the health infrastructures all over the world. The reliable and early diagnosis of COVID-19-infected patients is crucial to limit and prevent its outbreak. COVID-19 diagnosis is feasible by utilizing reverse transcript-polymerase chain reaction testing; however, diagnosis utilizing chest x-ray radiography is deemed safe, reliable, and precise in various cases.

Suggested Citation

  • Jumana Waleed & Ahmad Taher Azar & Saad Albawi & Waleed Khaild Al-Azzawi & Ibraheem Kasim Ibraheem & Ahmed Alkhayyat & Ibrahim A. Hameed & Nashwa Ahmad Kamal, 2022. "An Effective Deep Learning Model to Discriminate Coronavirus Disease From Typical Pneumonia," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 13(1), pages 1-16, January.
  • Handle: RePEc:igg:jssmet:v:13:y:2022:i:1:p:1-16
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    References listed on IDEAS

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