Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach

Rapid and accurate assessment of endotracheal tube (ETT) location is essential in the intensive care unit (ICU) setting, where timely identification of a mispositioned support device may prevent significant patient morbidity and mortality. This study proposes a series of deep learning-based algorith...

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Detalles Bibliográficos
Autores principales: Kara, Su, Akers, Jake Y., Chang, Peter D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455772/
https://www.ncbi.nlm.nih.gov/pubmed/34027589
http://dx.doi.org/10.1007/s10278-021-00463-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455772/
https://www.ncbi.nlm.nih.gov/pubmed/34027589
http://dx.doi.org/10.1007/s10278-021-00463-0

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