基于多尺度膨胀残差和双重注意力的可变形配准网络

羊晶晶, 王远军

Deformable Registration Network Based on Multi-scale Dilated Residual and Dual Attention

YANG Jingjing, WANG Yuanjun

表3 消融实验定量结果

Table 3 Quantitative results of the ablation experiments

MDRC CSDA Dysample DSC HD95/mm %|Jϕ|≤0/% Params/k Flops/G Memory/MB Time/s 0.730 ± 0.030 2.146 ± 0.809 1.645 ± 0.355 396.55 571.33 11052 0.213 √ 0.737 ± 0.028 2.305 ± 0.843 1.567 ± 0.349 413.41 575.03 13230 0.212 √ 0.734 ± 0.029 2.197 ± 0.789 1.565 ± 0.348 397.36 572.62 12558 0.208 √ 0.745 ± 0.027 2.201 ± 0.786 1.533 ± 0.332 421.51 576.96 12910 0.211 √ √ 0.739 ± 0.029 2.162 ± 0.793 1.496 ± 0.344 414.22 576.33 14732 0.216 √ √ 0.749 ± 0.026 2.134 ± 0.771 1.383 ± 0.328 438.37 580.66 15068 0.339 √ √ 0.748 ± 0.028 2.131 ± 0.767 1.523 ± 0.343 422.32 578.25 14298 0.235 √ √ √ 0.751 ± 0.027 2.107 ± 0.765 1.384 ± 0.355 439.18 581.96 16572 0.364