Use of Automated Machine Learning for Classifying Hemoperitoneum on Ultrasonographic Images of Morrison’s Pouch: A Multicenter Retrospective Study

This study evaluated automated machine learning (AutoML) in classifying the presence or absence of hemoperitoneum in ultrasonography (USG) images of Morrison’s pouch. In this multicenter, retrospective study, 864 trauma patients from trauma and emergency medical centers in South Korea were included....

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Detalles Bibliográficos
Autores principales: Jeong, Dongkil, Jeong, Wonjoon, Lee, Ji Han, Park, Sin-Youl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298902/
https://www.ncbi.nlm.nih.gov/pubmed/37373736
http://dx.doi.org/10.3390/jcm12124043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10298902/
https://www.ncbi.nlm.nih.gov/pubmed/37373736
http://dx.doi.org/10.3390/jcm12124043

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