Table 3.

Comparison of reviewed methods.

Methods	Database	Dim	CNN style	DSC	PPV
Roy et al. (2018)	ISBI 2015	3D	Semantic-wise	0.524	0.866
Birenbaum and Greenspan (2016)	ISBI 2015	3D	Patch-wise	0.627	0.789
Valverde et al. (2019)	ISBI 2015	3D	Patch-wise	0.63	0.840
Aslani et al. (2019)	ISBI 2015	2D	Semantic-wise	0.61	0.899
Aslani et al. (2018)	ISBI 2015	2D	Semantic-wise	0.698	0.74
Zhang et al. (2019a)	ISBI 2015	2.5D	Semantic-wise	0.693	0.908
Havaei et al. (2016)	MICCAI 2008	2D	Patch-wise	0.832	N/A
Valverde et al. (2017)	MICCAI 2008	3D	Patch-wise	0.871	0.786
Brosch et al. (2016)	MICCAI 2008	3D	Semantic-wise	0.840	N/A
Valverde et al. (2016)	MICCAI 2016	3D	Patch-wise	0.541	N/A
McKinley et al. (2016)	MICCAI 2016	3D	Semantic-wise	0.591	N/A
Kazancli et al. (2018)	Proprietary	3D	Patch-wise	0.575	N/A
La Rosa et al. (2020)	Proprietary	3D	Semantic-wise	0.60	0.64
Brosch et al. (2015)	Proprietary	3D	Semantic-wise	0.355	0.414
Gabr et al. (2020)	Proprietary	3D	Semantic-wise	0.95	N/A
Coronado et al. (2020)	Proprietary	3D	Semantic-wise	0.77	N/A
Zhang et al. (2018)	Proprietary	2D	Semantic-wise	0.672	0.724
Aslani et al. (2020)	Proprietary	3D	Semantic-wise	0.50	0.519
Gessert et al. (2020a)	Proprietary	4D	Semantic-wise	0.64	N/A
Gessert et al. (2020b)	Proprietary	3D	Semantic-wise	0.656	N/A
Zhang et al. (2019b)	Proprietary	2D	Semantic-wise	0.660	N/A