Comments (2)
As a side memory issue, the initial channel size needs to be customisable
from label-reg.
This needs test, otherwise done. The memory issue should be grouped into the general memory efficiency issue.
from label-reg.
Related Issues (20)
- dataset? HOT 1
- experiment19 HOT 1
- training for larger deformations on public datasets HOT 6
- input bug in composit option
- multi-channel input bug HOT 3
- Dice loss problems HOT 1
- training for larger deformations on 2D Mul-Models datasets HOT 1
- Gradients of local displacement energy HOT 4
- There is no nibabel in the program
- Global/Affine registration dramatic overfitting HOT 19
- The detail Running Environment HOT 1
- the batch_norm layer problem HOT 2
- Separate mode for inference HOT 1
- The loss didn't decrease HOT 6
- Move the tutorial to DeepReg
- Port the tutorial to NiftyNet HOT 1
- Accept anisotropic voxel dimension images HOT 1
- Loss isn't convergent HOT 8
- point-landmark variant HOT 1
- image size HOT 2
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