MCANet: An Unsupervised Multi-Constraint Cascaded Attention Network for Accurate and Smooth Brain Medical Image Registration

MCANet: An Unsupervised Multi-Constraint Cascaded Attention Network for Accurate and Smooth Brain Medical Image Registration

Brain medical image registration is a fundamental premise for the computer-assisted treatment of brain diseases. The brain is one of the most important and complex organs of the human body, and it is very challenging to perform accurate and fast registration on it. Aiming at the problem of voxel fol...

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Bibliographic Details
Main Authors: Min Huang, Haoyu Wang, Guanyu Ren
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
brain medical image
convolutional neural network
voxel folding
self-attention mechanism
dilated convolution
Online Access:https://www.mdpi.com/2076-3417/15/9/4629
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