Table 7 Quantitative results of models trained with different encoders on the OASIS dataset.

From: Hybrid transformer and convolution iteratively optimized pyramid network for brain large deformation image registration

Variant model

\(\:\text{D}\text{S}\text{C}\uparrow\:\)

\(\:\text{A}\text{S}\text{S}\text{D}\downarrow\:\)

\(\:\left|{J}_{\varnothing\:}\right|<0\downarrow\:\)

\(\:\text{T}\left(\text{s}\right)\downarrow\:\)

Pure_ConvBlock

0.828±0.021

0.795±0.052

< 0.0178%

0.582

Res_ConvBlock

0.826±0.021

0.812±0.040

< 0.0481%

0.462

ExtraPrior + SE_ConvBlock

0.827±0.018

0.817±0.041

< 0.0209%

0.558

ExtraPrior_ConvBlock(Ours)

0.830±0.020

0.786±0.046

< 0.0327%

0.600

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