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.
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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