Ultra-low-dose chest ct imaging of covid-19 patients using a deep residual neural network

HIGHLIGHTS

• who: Isaac Shiri from the Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland have published the Article: Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network, in the Journal: (JOURNAL)
• what: This study aimed design an examination protocol using a deep learning approach suitable for clinical diagnosis of COVID-19 patients. The authors aimed to use deep learning algorithms on ultra-low-dose COVID-19 CT images to generate high-quality images for a comparable diagnostic accuracy with full-dose CT images. In the . . .
  

   

  

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