A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets

Abstract Background Most existing algorithms have been focused on the segmentation from several public Liver CT datasets scanned regularly (no pneumoperitoneum and horizontal supine position). This study primarily segmented datasets with unconventional liver shapes and intensities deduced by contras...

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Autores principales: Baochun He, Dalong Yin, Xiaoxia Chen, Huoling Luo, Deqiang Xiao, Mu He, Guisheng Wang, Chihua Fang, Lianxin Liu, Fucang Jia
Formato: article
Lenguaje:EN
Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/3c62fd767e564528817c671573a9db94
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