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Table 4 Performance of macMIND in registration network (mean ± std)

From: macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND

Methods

Tumor

Liver

Image

TRE (mm)

DSC (%)

Hd95 (mm)

TRE (mm)

DSC (%)

Hd95(mm)

MI (%)

SSIM (%)

MIND

5.48 ± 2.24

52.51 ± 22.64

7.03 ± 1.71

5.51 ± 1.39

93.64 ± 1.13

5.52 ± 1.37

42.03 ± 4.71

49.03 ± 12.66

macMIND

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

  1. Bold values indicate better results than other methods
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