Efficient Framework for Detection of COVID-19 Omicron and Delta Variants Based on Two Intelligent Phases of CNN Models.

Journal: Computational and mathematical methods in medicine
Published Date: Apr 21, 2022

Abstract

INTRODUCTION: While the COVID-19 pandemic was waning in most parts of the world, a new wave of COVID-19 Omicron and Delta variants in Central Asia and the Middle East caused a devastating crisis and collapse of health-care systems. As the diagnostic methods for this COVID-19 variant became more complex, health-care centers faced a dramatic increase in patients. Thus, the need for less expensive and faster diagnostic methods led researchers and specialists to work on improving diagnostic testing.

Authors

  • Mustafa Ghaderzadeh
    Student Research Committee, Department and Faculty of Health Information Technology and Ma School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mohammad Amir Eshraghi
    School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.
  • Farkhondeh Asadi
    Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Azamossadat Hosseini
    Health Information Technology and Management Department, School of Allied Medical Sciences. Shahid Beheshti University of Medical Sciences.Tehran.Iran.
  • Ramezan Jafari
    Department of Radiology, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Davood Bashash
    Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Hassan Abolghasemi
    Pediatric Congenital Hematologic Disorders Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

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