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 the new model for PUMA to MOOSE
Changes Made:
Testing Done:
Tested on three CTs
Screenshots or GIFs (if applicable):
Reviewer Checklist: