A deep learning model for prediction of post hepatectomy liver failure after hemihepatectomy using preoperative contrast-enhanced computed tomography: a retrospective study

OBJECTIVE: Post-hepatectomy liver failure (PHLF) remains clinical challenges after major hepatectomy. The aim of this study was to establish and validate a deep learning model to predict PHLF after hemihepatectomy using preoperative contrast-enhancedcomputed tomography with three phases (Non-contras...

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Detalles Bibliográficos
Autores principales: Xu, Xiaoqing, Xing, Zijian, Xu, Zhiyao, Tong, Yifan, Wang, Shuxin, Liu, Xiaoqing, Ren, Yiyue, Liang, Xiao, Yu, Yizhou, Ying, Hanning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336538/
https://www.ncbi.nlm.nih.gov/pubmed/37448800
http://dx.doi.org/10.3389/fmed.2023.1154314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336538/
https://www.ncbi.nlm.nih.gov/pubmed/37448800
http://dx.doi.org/10.3389/fmed.2023.1154314

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