MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
Pull Request
Description:
Added a PET FDG brain region segmentation model
Changes Made:
Related Issues:
None
Testing Done:
Tested on two brain PET in dicom format
Screenshots or GIFs (if applicable):
Reviewer Checklist:
Additional Notes:
There is a bug where when converting from dicom to nifti the niftis are renamed to PET[file name].nii instead of PT[file name].nii
Reviewer(s): @[mention reviewers here]
Assignee: @[mention assignee here]
Labels: Improvement