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[An unsupervised three-dimensional medical image registration method based on shifted window Transformer and

Yang Li1, Chenmiao Ruan1, Dongsheng Ruan1

  • 1School of Computer Science and Technology (School of Artificial Intelligence), Zhejiang Sci-Tech University, Hangzhou 310018, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|December 25, 2025
PubMed
Summary

This study introduces a novel unsupervised 3D medical image registration method (STCHnet) using a hybrid Swin Transformer and CNN architecture. STCHnet accurately aligns 3D medical images by effectively capturing both local details and global dependencies.

Keywords:
Convolutional neural networkDeep learningMedical image registrationShifted window Transformer

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