Experimental results showed that our HCN is an effective deformable registration method and achieves excellent generalization performance. Keywords: ...
We propose a novel hierarchical cumulative network (HCN), which explicitly considers the optimal similarity position with an effective Bidirectional Asymmetric ...
Deformable medical image registration with global-local transformation network and region similarity constraint · Medicine, Computer Science. Comput. Medical ...
The proposed method has been compared to random oversampling, SMOTE, and ASN-SMOTE on MNIST, FMNIST, and three medical image datasets. The results show that SIA ...
Hierarchical cumulative network for unsupervised medical image registration · List of references · Publications that cite this publication.
By decomposing the registration procedure into several iterations, SDHNet generates hierarchical deformation fields (HDFs) simultaneously in each iteration and ...
In this process, we align multiple images of the same object into a single cumulative amalgamated image, taking into account the rotation, skew, and scale of ...
In this paper, we propose a self-recursive contextual network for unsupervised 3D medical image registration. Current learning-based registration methods ...
Aug 9, 2024 · Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
The progressive registration strategy is implemented on a cascaded network with one low-resolution and one original-resolution network. With this hierarchical ...
Missing: cumulative | Show results with:cumulative