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

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

Abstract 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 Aug...

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Bibliographic Details
Main Authors: Shungen Huang, Zhiyong Zhou, Xusheng Qian, Dashuang Li, Wanliang Guo, Yakang Dai
Format: Article
Language:English
Published: BMC 2022-12-01
Series:European Journal of Medical Research
Subjects:
Pediatric blunt hepatic trauma
Deep learning
Quantitative assessment
Contrast-enhanced CT
Online Access:https://doi.org/10.1186/s40001-022-00943-1

Internet

https://doi.org/10.1186/s40001-022-00943-1

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