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I trained nnUNet on my own data and I was wondering if you could help me alignment issues.
This is the command I use to run predictions:
nnUNetv2_predict -i /path_to_nnUNet/nnUNet/nnUNet_results/Dataset001_SpinalCordSegmentation/imagesTs -o /path_to_nnUNet/nnUNet/nnUNet_results/Dataset001_SpinalCordSegmentation/output -d 001 -c 3d_fullres -f 4 --verbose
And the outputs I get, even though the segmentations look good, are not aligned with the original segmentation file. Hence, I am unable to calculate the dice score. Can someone help me?
The text was updated successfully, but these errors were encountered:
An update, I realized that for the majority of scans, the output aligns well with the original scan. It's only for some scans it's not working. So I was wondering if that's the actual output of nnUNet or if the affine transformation is wrong. Do you have any suggestions on how to confirm this?
Hi,
I trained nnUNet on my own data and I was wondering if you could help me alignment issues.
This is the command I use to run predictions:
nnUNetv2_predict -i /path_to_nnUNet/nnUNet/nnUNet_results/Dataset001_SpinalCordSegmentation/imagesTs -o /path_to_nnUNet/nnUNet/nnUNet_results/Dataset001_SpinalCordSegmentation/output -d 001 -c 3d_fullres -f 4 --verbose
And the outputs I get, even though the segmentations look good, are not aligned with the original segmentation file. Hence, I am unable to calculate the dice score. Can someone help me?
The text was updated successfully, but these errors were encountered: