Table 6.

Summary of liver vessel segmentation approaches using unsupervised learning (segmentation metrics are given in Table 2). CT: computed tomography, MR: magnetic resonance.

Author	Testing Dataset	Synthetic Data Used	Metrics Results
Goceri et al. [33]	14 MR volumes	No	$Ac,DSC,HD$
Oliveira et al. [37]	15 CT datasets (SLIVER07 [51])	No	$Visual$
Zeng et al. [35]	6 CT volumes	No	$Ac=0.98,Sens=0.74,Spec=0.99$
Wang et al. [36]	18 CT volumes	No	$e_D=12.7$ mm
Bruyninckx et al. [38]	5 CT images (3D-IRCADb-01)	No	$DSC$
	(http://www.ircad.fr/research/3dircadb/)
	(accessed on 5 May 2019)