Table 5 Performance of macJNet and Reg-SubNet with macMIND (mean ± std)
Methods | Tumor | Liver | Image | |||||
|---|---|---|---|---|---|---|---|---|
TRE (mm) | DSC (%) | Hd95 (mm) | TRE (mm) | DSC (%) | Hd95(mm) | MI (%) | SSIM (%) | |
Reg-SubNet | 5.19 ± 1.34 | 56.09 ± 19.05 | 6.53 ± 2.18 | 4.90 ± 1.48 | 93.64 ± 1.07 | 5.39 ± 1.14 | 43.76 ± 4.83 | 53.00 ± 11.64 |
macJNet | 5.05 ± 1.77 | 55.20 ± 18.77 | 6.71 ± 1.96 | 4.83 ± 1.49 | 94.75 ± 0.82 | 4.53 ± 1.11 | 44.12 ± 4.63 | 54.43 ± 11.62 |