TABLE 2.

Statistics of agreement between manual and automatic segmentations in the developmental test dataset.

	Model	U-NET	Attention U-NET	SEG-NET
Subcutaneous fat	DSC	0.978 ± 0.024	0.981 ± 0.022	0.802 ± 0.208
	IOU	0.956 ± 0.045	0.962 ± 0.042	0.681 ± 0.260
	Precision	0.973 ± 0.025	0.976 ± 0.029	0.693 ± 0.250
	Recall	0.983 ± 0.028	0.985 ± 0.021	0.965 ± 0.092
Visceral fat	DSC	0.935 ± 0.103	0.942 ± 0.089	0.878 ± 0.223
	IOU	0.883 ± 0.156	0.893 ± 0.143	0.797 ± 0.280
	Precision	0.946 ± 0.055	0.952 ± 0.055	0.827 ± 0.282
	Recall	0.928 ± 0.151	0.935 ± 0.132	0.953 ± 0.072
Muscle	DSC	0.957 ± 0.029	0.960 ± 0.030	0.796 ± 0.162
	IOU	0.919 ± 0.053	0.924 ± 0.054	0.669 ± 0.216
	Precision	0.960 ± 0.038	0.957 ± 0.042	0.686 ± 0.221
	Recall	0.956 ± 0.042	0.963 ± 0.037	0.963 ± 0.039