Skip to content
/ GCLoss Public

A PyTorch implementation of the gradient consistency loss function.

License

Notifications You must be signed in to change notification settings

btcrabb/GCLoss

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 

Repository files navigation

Pytorch Gradient Consistency Loss

A PyTorch implementation of the gradient consistency loss function, based on:

Penney, G.P., et al.: A comparison of similarity measures for use in 2-D-3-D medical image registration. IEEE transactions on medical imaging 17(4) (1998) 586–595

and

Hiasa Y, Otake Y, Takao M, et al. Cross-modality image synthesis from unpaired data using CycleGAN. Springer; 2018:31-41.


About

A PyTorch implementation of the gradient consistency loss function.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages