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Image augmentation and automated measurement of endotracheal-tube-to-carina distance on chest radiographs in intensive care unit using a deep learning model with external validation

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Bibliographic Details
Main Authors: Matthieu, Oliver, Amélie, Renou, Nicolas, Allou
Format: Book
Language:English
Published: Springer 2023
Subjects:
intensive care unit
endotracheal tube
Online Access:https://link.springer.com/article/10.1186/s13054-023-04320-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7206
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spelling oai:localhost:PNK-72062023-03-28T02:29:35Z Image augmentation and automated measurement of endotracheal-tube-to-carina distance on chest radiographs in intensive care unit using a deep learning model with external validation Matthieu, Oliver Amélie, Renou Nicolas, Allou intensive care unit endotracheal tube CC BY Chest radiographs are routinely performed in intensive care unit (ICU) to confirm the correct position of an endotracheal tube (ETT) relative to the carina. However, their interpretation is often challenging and requires substantial time and expertise. The aim of this study was to propose an externally validated deep learning model with uncertainty quantification and image segmentation for the automated assessment of ETT placement on ICU chest radiographs. 2023-03-28T02:29:35Z 2023-03-28T02:29:35Z 2023 Book https://link.springer.com/article/10.1186/s13054-023-04320-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7206 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic intensive care unit
endotracheal tube
spellingShingle intensive care unit
endotracheal tube
Matthieu, Oliver
Amélie, Renou
Nicolas, Allou
Image augmentation and automated measurement of endotracheal-tube-to-carina distance on chest radiographs in intensive care unit using a deep learning model with external validation
description CC BY
format Book
author Matthieu, Oliver
Amélie, Renou
Nicolas, Allou
author_facet Matthieu, Oliver
Amélie, Renou
Nicolas, Allou
author_sort Matthieu, Oliver
title Image augmentation and automated measurement of endotracheal-tube-to-carina distance on chest radiographs in intensive care unit using a deep learning model with external validation
title_short Image augmentation and automated measurement of endotracheal-tube-to-carina distance on chest radiographs in intensive care unit using a deep learning model with external validation
title_full Image augmentation and automated measurement of endotracheal-tube-to-carina distance on chest radiographs in intensive care unit using a deep learning model with external validation
title_fullStr Image augmentation and automated measurement of endotracheal-tube-to-carina distance on chest radiographs in intensive care unit using a deep learning model with external validation
title_full_unstemmed Image augmentation and automated measurement of endotracheal-tube-to-carina distance on chest radiographs in intensive care unit using a deep learning model with external validation
title_sort image augmentation and automated measurement of endotracheal-tube-to-carina distance on chest radiographs in intensive care unit using a deep learning model with external validation
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1186/s13054-023-04320-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7206
_version_ 1761640719149170688
score 8.8894005

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