Automated quantitative assessment of pediatric blunt hepatic trauma by deep learning-based CT volumetry

BACKGROUND: To develop an end-to-end deep learning method for automated quantitative assessment of pediatric blunt hepatic trauma based on contrast-enhanced computed tomography (CT). METHODS: This retrospective study included 170 children with blunt hepatic trauma between May 1, 2015, and August 30,...

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Detalles Bibliográficos
Autores principales: Huang, Shungen, Zhou, Zhiyong, Qian, Xusheng, Li, Dashuang, Guo, Wanliang, Dai, Yakang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793570/
https://www.ncbi.nlm.nih.gov/pubmed/36572942
http://dx.doi.org/10.1186/s40001-022-00943-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793570/
https://www.ncbi.nlm.nih.gov/pubmed/36572942
http://dx.doi.org/10.1186/s40001-022-00943-1

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