Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Test and clarify nn-unet baseline implementation #17

Open
3 tasks
jqmcginnis opened this issue Dec 13, 2022 · 0 comments
Open
3 tasks

Test and clarify nn-unet baseline implementation #17

jqmcginnis opened this issue Dec 13, 2022 · 0 comments

Comments

@jqmcginnis
Copy link
Collaborator

Scope

Ensure that the current implementation of the renaming scripts to generate the dataset for the nnUNet baseline in:
https://github.com/sct-pipeline/bavaria-quebec/tree/jqm/ms_lesion_nnunet/source/pipeline/baselines/nnunet
follows all current BIDS naming conventions and dataset modifications and is reproducible.

Procedure

  • Test the renaming scripts with and without the cropped datasets, and with the optional sagittal image channel.
  • Detail Readme with all steps required to do the training specifically for our dataset.
  • Ask someone (i.e. the reviewer) to test the nnUNet naming scripts in the Pull Request to ensure the baseline generation is reproducible and could be done by someone at NeuroPoly as well (not only on TUM servers where e.g. the conda environment for nnUNet is already installed.)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant