A Lightweight Residual Network for Unsupervised Deformable Image Registration
Unsupervised deformable volumetric image registration is crucial for various applications, such as medical imaging and diagnosis. Recently, learning-based methods have achieved remarkable success in this domain. Due to their strong global modeling capabilities, transformers outperform convolutional...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10786016/ |
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