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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...
Autores principales: | Xu, Xiaoqing, Xing, Zijian, Xu, Zhiyao, Tong, Yifan, Wang, Shuxin, Liu, Xiaoqing, Ren, Yiyue, Liang, Xiao, Yu, Yizhou, Ying, Hanning |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
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 |
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