Wavelet-Guided Multi-Scale ConvNeXt for Unsupervised Medical Image Registration

Wavelet-Guided Multi-Scale ConvNeXt for Unsupervised Medical Image Registration

Medical image registration is essential in clinical practices such as surgical navigation and image-guided diagnosis. The Transformer architecture of TransMorph demonstrates better accuracy in non-rigid registration tasks. However, its weaker spatial locality priors necessitate large-scale training...

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Bibliographic Details
Main Authors: Xuejun Zhang, Aobo Xu, Ganxin Ouyang, Zhengrong Xu, Shaofei Shen, Wenkang Chen, Mingxian Liang, Guiqi Zhang, Jiashun Wei, Xiangrong Zhou, Dongbo Wu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Bioengineering
Subjects:
non-rigid medical image registration
unsupervised deep learning
Haar wavelet
ConvNeXt
Online Access:https://www.mdpi.com/2306-5354/12/4/406
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