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Thanks a lot for your work.
I noticed that spacing was not used for the test data set. I would like to ask if it can be used for the test dataset. Generally, spacing seems to improve some dice scores.
if self.split != "test":
seg = (
F.interpolate(
input=rearrange(seg_tensor, f"d c h w -> 1 c d h w"),
scale_factor=(img_spacing[0] / self.target_spacing[0], 1, 1),
mode="nearest",
)
.squeeze(0)
.numpy()
)
The text was updated successfully, but these errors were encountered:
Thanks a lot for your work.
I noticed that spacing was not used for the test data set. I would like to ask if it can be used for the test dataset. Generally, spacing seems to improve some dice scores.
The text was updated successfully, but these errors were encountered: