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

Background: This study aimed to develop an algorithm for multilabel classification according to the distance from carina to endotracheal tube (ETT) tip (absence, shallow > 70 mm, 30 mm ≤ proper ≤ 70 mm, and deep position < 30 mm) with the application of automatic segmentation of the trachea an...

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Detalles Bibliográficos
Autores principales: Jung, Heui Chul, Kim, Changjin, Oh, Jaehoon, Kim, Tae Hyun, Kim, Beomgyu, Lee, Juncheol, Chung, Jae Ho, Byun, Hayoung, Yoon, Myeong Seong, Lee, Dong Keon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503144/
https://www.ncbi.nlm.nih.gov/pubmed/36143148
http://dx.doi.org/10.3390/jpm12091363

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503144/
https://www.ncbi.nlm.nih.gov/pubmed/36143148
http://dx.doi.org/10.3390/jpm12091363

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