Skip to main content
. 2022 Mar 16;17(7):1333–1342. doi: 10.1007/s11548-022-02586-3

Table 2.

Quantitative results for the effectiveness of different network components

Aff Aff+local
Dice Jac SSIM ASSD Dice Jac SSIM ASSD
Original 0.860 0.755 0.893 2.04 0.939 0.886 0.932 0.84
(0.024) (0.036) (0.015) (0.35) (0.016) (0.027) (0.013) (0.20)
2 aff encoders 0.855 0.748 0.891 2.13 0.940 0.888 0.933 0.82
(0.023) (0.035) (0.016) (0.34) (0.016) (0.027) (0.013) (0.20)
Wo skip 0.846 0.734 0.887 2.29 0.937 0.883 0.931 0.86
(0.035) (0.050) (0.016) (0.52) (0.017) (0.029) (0.013) (0.21)
Single 3D dec 0.853 0.744 0.890 2.16 0.930 0.870 0.925 0.97
(0.021) (0.032) (0.017) (0.33) (0.018) (0.030) (0.014) (0.24)
Wo inv-ProST 0.851 0.742 0.889 2.18 0.932 0.873 0.927 0.95
(0.026) (0.038) (0.015) (0.36) (0.016) (0.027) (0.013) (0.21)
2 aff encoders 10-7 10-7 10-7 10-9 10-2 10-2 10-1 10-2
Wo skip 10-8 10-8 10-9 10-7 10-3 10-3 10-3 10-3
Single 3D dec 10-10 10-10 10-8 10-11 10-21 10-21 10-23 10-22
Wo inv-ProST 10-12 10-13 10-13 10-12 10-17 10-17 10-16 10-17

The mean and standard deviation (between brackets) of the evaluation metrics are tabulated for the different network variations. The bottom table shows the p-values of a paired t-test between the original network and each variation on the network architecture