Inhalation injury grading using transfer learning based on bronchoscopy images and mechanical ventilation period

HIGHLIGHTS

• who: Yifan Li and collaborators from the Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA have published the Article: Inhalation Injury Grading Using Transfer Learning Based on Bronchoscopy Images and Mechanical Ventilation Period, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
• what: The authors propose a novel inhalation injury grading method which uses deep learning algorithms in to determine the injury grade from the carbonaceous deposits blistering and fibrin casts in the This model showed 84.85% accuracy on the BI test dataset, which included a blood . . .
  

   

  

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