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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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1186/s13054-023-04320-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7206 |
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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 |
8.881002 |