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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Baochun He, Dalong Yin, Xiaoxia Chen, Huoling Luo, Deqiang Xiao, Mu He, Guisheng Wang, Chihua Fang, Lianxin Liu, Fucang Jia
Format: article
Langue:EN
Publié: BMC 2021
Sujets:
Accès en ligne:https://doaj.org/article/3c62fd767e564528817c671573a9db94
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!