A deep learning framework for automated detection and quantitative assessment of liver trauma

BACKGROUND: Both early detection and severity assessment of liver trauma are critical for optimal triage and management of trauma patients. Current trauma protocols utilize computed tomography (CT) assessment of injuries in a subjective and qualitative (v.s. quantitative) fashion, shortcomings which...

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Detalles Bibliográficos
Autores principales: Farzaneh, Negar, Stein, Erica B., Soroushmehr, Reza, Gryak, Jonathan, Najarian, Kayvan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905785/
https://www.ncbi.nlm.nih.gov/pubmed/35260105
http://dx.doi.org/10.1186/s12880-022-00759-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905785/
https://www.ncbi.nlm.nih.gov/pubmed/35260105
http://dx.doi.org/10.1186/s12880-022-00759-9

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