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. Author manuscript; available in PMC: 2020 Sep 1.
Published in final edited form as: Neuroimage. 2019 May 18;198:114–124. doi: 10.1016/j.neuroimage.2019.05.037

Table 3:

Quantitative comparison with other topological correction methods on macaque infant MRI dataset with real topological errors. The symbol * indicates our proposed AC-U-Net method is significantly better than the competing method (p < 0.05) based on the paired t-test in terms of DR.

Method SR DR (mean ± std) ASD (mean ± std)
*Brainsuite 31.48% 97.82 ± 1.88% 0.0065 ± 0.0067 mm
*Freesurfer 79.63% 90.63 ± 3.79% 0.0239 ± 0.0106 mm
*TPLS 68.52% 98.02 ± 1.96% 0.0061 ± 0.0069 mm
*SDLM 92.59% 93.48 ± 1.45% 0.0156 ± 0.0039 mm
*U-Net(ours) 94.44% 97.79 ± 2.30% 0.0066 ± 0.0083 mm
AC-U-Net(ours) 96.30% 98.84 ± 1.08% 0.0030 ± 0.0042 mm