Weakly supervised medical image registration with multi-information guidance
Weipeng Liu,
Ziwen Ren,
Xu Li
Abstract:In recent years, the registration method based on deep learning has received extensive attention from scholars due to its superiority in real-time performance. Most of the work directly use convolutional neural networks to map the image to be registered into the transform space. However, the receptive field of convolutional neural networks is limited, and multi-layer convolution superposition is needed to obtain a relatively large receptive field. Transformer-based methods can better express spatial relationsh… Show more
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