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Unsupervised brain MRI image registration based on hybrid ViT and convolutional U-net
We proposed a hybrid ViT and convolutional U-net for brain MRI image registration, which achieved a higher dice score than ViT-V-Net and VoxelMorph. Quantitative and qualitative comparison results demonstrate that our model outperforms the previous ViT-based and convolution-based networks and achieved a better dice score of 79.7% in OASIS dataset.
Junyao Wang 王骏峣, Feng Liu, Shu Shi, Guowei Tao, Fu Zhou
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Unsupervised brain MRI image registration based on hybrid ViT and convolutional U-net