Code and pretrained model for LabelSeg: automatic tract labeling without tractography
Only Python3.10 is currently supported. It is recommended to install the software in a virtualenv.
To install, in the cloned project's folder:
pip install -e .Docker containers are coming soon-ish.
To run LabelSeg, use
labelseg_predict
The software will output 71 files, each corresponding to a bundle's label map. The bundle definitions follow TractSeg's, minus the whole CC.
Ran into a problem during installation or prediction ? Have a question ? Please open an issue !