TABLE 1. Comparison Between Our Method and Several Current Segmentation Methods (Mean Value ± Standard Deviation)).

Methods	DM			Jaccard coefficient
	LV	MYO	RV	LV	MYO	RV
Conv-Deconv	0.934 ± 0.003	0.846 ± 0.011	0.881 ± 0.009	0.884 ± 0.064	0.733 ± 0.088	0.778 ± 0.109
Seg-Net	0.937 ± 0.009	0.844 ± 0.013	0.878 ± 0.022	0.885 ± 0.061	0.728 ± 0.088	0.779 ± 0.111
FCN	0.950 ± 0.004	0.873 ± 0.005	0.892 ± 0.025	0.907 ± 0.052	0.778 ± 0.078	0.800 ± 0.130
U-net	0.953 ± 0.016	0.887 ± 0.016	0.897 ± 0.026	0.919 ± 0.049	0.800 ± 0.072	0.827 ± 0.095
Cardiac-DeepED*	0.951 ± 0.008	0.870 ± 0.020	0.899 ± 0.018	0.912 ± 0.048	0.775 ± 0.080	0.818 ± 0.099
Our method	0.960 ± 0.008	0.890 ± 0.018	0.903 ± 0.026	0.923 ± 0.040	0.801 ± 0.068	0.828 ± 0.097
Methods	Accurary			PPV
	LV	MYO	RV	LV	MYO	RV
Conv-Deconv	0.986 ± 0.007	0.965 ± 0.014	0.976 ± 0.010	0.942 ± 0.055	0.840 ± 0.094	0.883 ± 0.111
Seg-Net	0.985 ± 0.007	0.964 ± 0.014	0.976 ± 0.011	0.930 ± 0.065	0.845 ± 0.090	0.883 ± 0.106
FCN	0.989 ± 0.007	0.972 ± 0.011	0.979 ± 0.014	0.951 ± 0.049	0.878 ± 0.073	0.896 ± 0.112
U-net	0.990 ± 0.006	0.975 ± 0.011	0.982 ± 0.010	0.958 ± 0.048	0.887 ± 0.072	0.909 ± 0.097
Cardiac-DeepED*	0.989 ± 0.006	0.972 ± 0.011	0.981 ± 0.010	0.952 ± 0.051	0.871 ± 0.076	0.907 ± 0.096
Our method	0.991 ± 0.005	0.976 ± 0.009	0.982 ± 0.011	0.960 ± 0.040	0.891 ± 0.066	0.913 ± 0.095

Cardiac-DeepED^* represents the our method that replaced the Fire dilated modules and D-Fire dilated modules with standard convolution layers.