Table 2:

Evaluation indices for five calf muscle compartments from different cost functions in Deep LOGISMOS and training datasets. * and ** denote results of paired t-tests vs. EdgeGate_80, and EdgeGate_350, respectively. Bolded values represent statistically significant improvements in comparison with the compared approaches.

	Sobel_80		Laplacian_80		2nd Derivative_80		EdgeGate_80
	Mean±STD	p value*	Mean±STD	p value*	Mean±STD	p value*	Mean±STD
DSC (%)	91.71±0.35	≪0.001	93.93±0.34	≪0.001	94.10±0.36	≪0.001	95.55±0.34
Jaccard (%)	84.86±0.55	≪0.001	88.75±0.57	≪0.001	89.06±0.60	≪0.001	91.66±0.57
ASSD (pixel)	1.39±0.76	≪0.001	1.10±0.74	≪0.001	1.04±0.78	≪0.001	0.80 ±0.75
ASSD Score	86.61±0.59	≪0.001	89.29±0.60	≪0.001	89.90±0.64	≪0.001	92.18±0.63
RSSD (pixel)	−0.35±0.83	≪0.001	0.41±0.64	≪0.001	0.13±0.68	0.0367	0.14±0.64
RSSD Score	93.12±0.50	≪0.001	95.09±0.51	≪0.001	96.15±0.51	0.07	96.83±0.50
ASSDmax95	4.54±3.42	0.27	5.11±3.86	0.0015	5.15±3.72	≪0.001	4.25±4.33
Final Score	89.08±0.45	≪0.001	91.76±0.46	≪0.001	92.3±0.50	≪0.001	94.05±0.48
	Sobel_350		Laplacian_350		2nd Derivative_350		EdgeGate_350
	Mean±STD	p value**	Mean±STD	p value**	Mean±STD	p value**	Mean±STD
DSC (%)	94.06±0.37	0.007	95.53±0.27	≪0.001	95.69±0.28	≪0.001	96.56±0.26
Jaccard (%)	88.99±0.58	0.003	91.15±0.44	≪0.001	91.45±0.47	≪0.001	93.45±0.43
ASSD (pixel)	1.02±0.75	0.006	0.92 ±0.62	≪0.001	0.86±0.65	≪0.001	0.63 ±0.62
ASSD Score	90.10±0.59	≪0.001	91.45±0.48	≪0.001	92.00±0.51	≪0.001	93.77±0.48
RSSD (pixel)	0.14±0.70	≪0.001	0.34±0.60	≪0.001	−0.021±0.63	≪0.001	0.07±0.58
RSSD Score	96.32±0.52	0.017	96.42±0.44	≪0.001	97.40±0.44	≪0.001	97.71±0.42
ASSDmax95	5.50±5.46	≪0.001	4.38±3.25	≪0.001	4.46±3.22	≪0.001	3.50±3.46
Final Score	92.37±0.48	0.07	93.64±0.38	≪0.001	94.14±0.40	≪0.001	95.37±0.38