Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden Stratification

This retrospective case-control study evaluated the diagnostic performance of a commercially available chest radiography deep convolutional neural network (DCNN) in identifying the presence and position of central venous catheters, enteric tubes, and endotracheal tubes, in addition to a subgroup ana...

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Detalles Bibliográficos
Autores principales: Tang, Cyril H. M., Seah, Jarrel C. Y., Ahmad, Hassan K., Milne, Michael R., Wardman, Jeffrey B., Buchlak, Quinlan D., Esmaili, Nazanin, Lambert, John F., Jones, Catherine M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378683/
https://www.ncbi.nlm.nih.gov/pubmed/37510062
http://dx.doi.org/10.3390/diagnostics13142317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378683/
https://www.ncbi.nlm.nih.gov/pubmed/37510062
http://dx.doi.org/10.3390/diagnostics13142317

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