Fully automated assessment of the future liver remnant in a blood-free setting via CT before major hepatectomy via deep learning
Tingting Xie,
Jingyu Zhou,
Xiaodong Zhang
et al.
Abstract:Objectives
To develop and validate a deep learning (DL) model for automated segmentation of hepatic and portal veins, and apply the model in blood-free future liver remnant (FLR) assessments via CT before major hepatectomy.
Methods
3-dimensional 3D U-Net models were developed for the automatic segmentation of hepatic veins and portal veins on contrast-enhanced CT images. A total of 170 patients treated from January 2018 to March 2019 were included.… Show more
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