Using Deep Learning Segmentation for Endotracheal Tube Position Assessment.

Journal: Journal of thoracic imaging

Published Date: Mar 1, 2022

Abstract

PURPOSE: The purpose of this study was to determine the efficacy of using deep learning segmentation for endotracheal tube (ETT) position on frontal chest x-rays (CXRs).

Authors

William G Schultheis

Sidney Kimmel Medical College, Thomas Jefferson University.
Paras Lakhani

Department of Radiology, Thomas Jefferson University Hospital, Sidney Kimmel Jefferson Medical College, 132 S 10th St, Philadelphia, PA 19107.

Keywords

Deep Learning Humans Intubation, Intratracheal Reproducibility of Results Retrospective Studies Trachea

External Resources

View on PubMed Access via DOI PubMed (34292275)

Using Deep Learning Segmentation for Endotracheal Tube Position Assessment.

Abstract

Authors

Keywords

External Resources

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