SwinMR and SwinGANMR

SwinGANMR builds upon SwinMR by incorporating generative adversarial network training to improve the deformable image registration approach, making them complementary tools where SwinGANMR represents an enhanced variant rather than a direct alternative.

SwinMR
39
Emerging
SwinGANMR
28
Experimental
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 14/25
Maintenance 0/25
Adoption 6/25
Maturity 9/25
Community 13/25
Stars: 77
Forks: 11
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 17
Forks: 3
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About SwinMR

ayanglab/SwinMR

This is the official implementation of our proposed SwinMR

About SwinGANMR

ayanglab/SwinGANMR

Official implementation of SwinGANMR

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