Multimodality imaging of covid-19 using fine-tuned deep learning models

HIGHLIGHTS

• who: Saleh Almuayqil and collaborators from the Department of Information Systems, College of Computer and Information Sciences, Jouf University have published the research work: Multimodality Imaging of COVID-19 Using Fine-Tuned Deep Learning Models, in the Journal: Diagnostics 2023, 13, x FOR PEER REVIEW of /2023/
• what: The model surpassed the state-of-the-art method in terms of sensitivity, specificity, and accuracy.
• how: This paper presents a novel technique for the detection of the COVID-19 virus early on based on X-ray and CT chest radiography image analysis using deep . . .
  

   

  

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