Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction

HIGHLIGHTS

• who: Ivan Dudurych from the Department of Radiology, University Medical Centre Copenhagen, Denmark have published the research work: Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction, in the Journal: (JOURNAL)
• what: The authors evaluate the reproducibility of a deep learning and optimal-surface graph-cut method to automatically segment the airway lumen and and calculate bronchial parameters. The authors aim to quantify the repeatability of this pipeline on low-dose chest CT. This study demonstrated a wider variability in measurements for LA than Pi10 or WAP . . .
  

   

  

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