You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
When in _label.h5 creation, it requires groundTruthLabel as an argument to dlt_extract_tract_feat.py . I am facing trouble in finding how to create GroundTruthLabel, even after subject_specific_parcellation and anatomical tractography, I am not able to find a way to connect these dots.
The main question bothering me while understanding pnlbwh and SlicerDMRI pipeline is - how the labels are generated which are then fed into any model, be it CNN based DeepWMA or pointNet SupWMA. If there is a script which does the same, that would be really helpful in understanding the ecosystem your group has created
The text was updated successfully, but these errors were encountered:
When in _label.h5 creation, it requires groundTruthLabel as an argument to dlt_extract_tract_feat.py . I am facing trouble in finding how to create GroundTruthLabel, even after subject_specific_parcellation and anatomical tractography, I am not able to find a way to connect these dots. The main question bothering me while understanding pnlbwh and SlicerDMRI pipeline is - how the labels are generated which are then fed into any model, be it CNN based DeepWMA or pointNet SupWMA. If there is a script which does the same, that would be really helpful in understanding the ecosystem your group has created
hi! Have you solved your problem? I have the same problem as you and I want the groundtruth labels. :)
When in
_label.h5
creation, it requiresgroundTruthLabel
as an argument todlt_extract_tract_feat.py
. I am facing trouble in finding how to create GroundTruthLabel, even after subject_specific_parcellation and anatomical tractography, I am not able to find a way to connect these dots.The main question bothering me while understanding
pnlbwh
andSlicerDMRI
pipeline is - how the labels are generated which are then fed into any model, be it CNN based DeepWMA or pointNet SupWMA. If there is a script which does the same, that would be really helpful in understanding the ecosystem your group has createdThe text was updated successfully, but these errors were encountered: