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Position Classification of the Endotracheal Tube with Automatic Segmentation of the Trachea and the Tube on Plain Chest Radiography Using Deep Convolutional Neural Network.

Heui Chul JungChangjin KimJaehoon OhTae Hyun KimBeomgyu KimJuncheol LeeJae Ho ChungHayoung ByunMyeong Seong YoonDong Keon Lee
Published in: Journal of personalized medicine (2022)
Automatic segmentation of the ETT and trachea images and classification of the ETT position using deep CNN with plain chest radiographs could achieve good performance and improve the physician's performance in deciding the appropriateness of ETT depth.
Keyphrases
  • deep learning
  • convolutional neural network
  • machine learning
  • emergency department
  • primary care
  • neural network