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

Journal: BMC medical imaging
Published Date: Nov 24, 2021

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 contrast phases, irregular scanning conditions, different scanning objects of pigs and patients with large pathological tumors, which formed the multiple heterogeneity of datasets used in this study.

Authors

  • Baochun He
    Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Dalong Yin
    Department of Hepatobiliary Surgery, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
  • Xiaoxia Chen
    Department of Radiology, The Third Medical Center, General Hospital of PLA, Beijing, China.
  • Huoling Luo
    Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Deqiang Xiao
  • Mu He
    First Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
  • Guisheng Wang
    From the Department of Radiology, Wuhan Huangpi People's Hospital, Wuhan, China (L.L., Z.X., X.F., S.Z., Juan Xia); Jianghan University Affiliated Huangpi People's Hospital, Wuhan, China (L.L.); Department of Radiology, Wuhan Pulmonary Hospital, Wuhan, China (L.Q.); Keya Medical Technology Co, Ltd, Shenzhen, China (Y.Y., X.W., B.K., J.B., Y.L., Z.F., Q.S., K.C.); Department of Radiology, Liaocheng People's Hospital, Liaocheng, China (D.L.); Department of CT, The Third Medical Center of Chinese PLA General Hospital, Beijing, China (G.W.); and Department of Radiology, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China 518035 (Q.X., Jun Xia).
  • Chihua Fang
    Guangdong Provincial Clinical and Engineering Center of Digital Medicine, The First Department of Hepatobiliary Surgery Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China. fangch_dr@163.com.
  • Lianxin Liu
    Department of Hepatobiliary Surgery, The First Affiliated Hospital, Harbin Medical University, Harbin, China. liulx@ustc.edu.cn.
  • Fucang Jia
    Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Boulevard, Shenzhen, 518055, China.

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