Comments (2)
There are 72 bundles, not 144. 144 probably is the spatial dimension (x,y,z).
This data is not yet preprocessed. You have to create the binary masks and then you have to use tractseg/data/preprocessing.py
to remove the non-brain area.
from tractseg.
There are 72 bundles, not 144. 144 probably is the spatial dimension (x,y,z).
This data is not yet preprocessed. You have to create the binary masks and then you have to use
tractseg/data/preprocessing.py
to remove the non-brain area.
Thanks very much!
from tractseg.
Related Issues (20)
- loss become minus when train my own TOM model
- Definition of AF and SLF-III HOT 2
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- About trk_2_binary.py HOT 4
- No such file or no access "template/TOM/bundle_segmentations/AF_left.nii.gz HOT 1
- Very minor setup.py problem HOT 1
- About bundle_masks.nii.gz
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- [Explanation] Training slice-wise and predicting subject-wise? HOT 2
- EOFError: Ran out of input HOT 6
- download_all_pretrained_weights does not flag when it cannot download to folder HOT 1
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- Training Process Question HOT 2
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