Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography

OBJECTIVE: To assess the diagnostic performance of a deep learning-based algorithm for automated detection of acute and chronic rib fractures on whole-body trauma CT. MATERIALS AND METHODS: We retrospectively identified all whole-body trauma CT scans referred from the emergency department of our hos...

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Detalles Bibliográficos
Autores principales: Weikert, Thomas, Noordtzij, Luca Andre, Bremerich, Jens, Stieltjes, Bram, Parmar, Victor, Cyriac, Joshy, Sommer, Gregor, Sauter, Alexander Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2020
Materias:
Thoracic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289702/
https://www.ncbi.nlm.nih.gov/pubmed/32524789
http://dx.doi.org/10.3348/kjr.2019.0653

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289702/
https://www.ncbi.nlm.nih.gov/pubmed/32524789
http://dx.doi.org/10.3348/kjr.2019.0653

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