Table 3.

Comparison between the proposed method and recent other methods. Values are the mean values of the metric with the standard deviation. Stated after the authors name is the number of datasets in the training/test set, whether non contrast CT (NCCT) or contrast CT (CCT) were used and whether the method was based on deep learning (DL) algorithms or atlas based algorithms. In the case of atlas based methods, N indicates the number of volumes used to create the atlas/the number tested on. Bold values indicate the highest score of all the NCCT projects

	Choi et al. [15] (N = 35/14) (NCCT) (DL based)		Harms et al. [16] (N = 30/15) (CCT & NCCT) (DL based)		Jung et al. [17] (N = 29/1) (NCCT) (Atlas based)		Luo et al. [18] (N = 12/49) (NCCT) (Atlas based)		Proposed method (N = 41/6) (NCCT) (DL based)
	DC	95% HD (mm)	DC	95% HD (mm)	DC	95% HD (mm)	DC	95% HD (mm)	DC	95% HD (mm)
WH	0.95 ± 0.01	2.39 ± 0.47	0.96 ± 0.03	6.00 ± 5.73	0.97 ± 0.01	NR	0.95 ± 0.04	NR	0.95 ± 0.01	2.22 ± 0.97
RV	0.86 ± 0.04	6.15 ± 2.39	0.92 ± 0.03	4.43 ± 1.95	0.69 ± 0.08	NR	0.87 ± 0.10	NR	0.88 ± 0.02	2.88 ± 0.67
LV	0.87 ± 0.03	4.52 ± 1.65	0.96 ± 0.01	3.80 ± 1.46	0.80 ± 0.06	NR	0.91 ± 0.06	NR	0.92 ± 0.01	3.27 ± 2.04
LA	0.78 ± 0.04	4.77 ± 2.18	0.90 ± 0.08	5.17 ± 4.39	0.67 ± 0.10	NR	0.89 ± 0.05	NR	0.82 ± 0.03	7.35 ± 4.61
RA	0.85 ± 0.04	4.03 ± 1.20	0.94 ± 0.02	3.44 ± 1.12	0.68 ± 0.10	NR	0.86 ± 0.12	NR	0.81 ± 0.05	6.06 ± 3.32

NCCT non contrast CT, CCT contrast CT, DL deep learning, WH whole heart, RV right ventricle, LV left ventricle, LA left atrium, RA right atrium, NR not reported, HD Hausdorff distance, DC dice similarity coefficient