Comparison of the diagnostic performance of deep learning algorithms for reducing the time required for covid-19 rt-pcr testing

HIGHLIGHTS

• who: Yoonje Lee and colleagues from the Department of Emergency Medicine, College of Medicine, Hallym University, Chuncheon, Republic of Korea have published the research work: Comparison of the Diagnostic Performance of Deep Learning Algorithms for Reducing the Time Required for COVID-19 RT-PCR Testing, in the Journal: Viruses 2023, 15, x FOR PEER REVIEW of 23/Nov/2020
• what: The diagnostic performance of the model developed in this study when 40 cycles of are used for diagnosis shows the possibility of nearly halving the time required for diagnosis. In the current study, five DL . . .
  

   

  

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