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()
)
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.