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 ALPACA to MOOSE
Changes Made:
Related Issues:
None
Testing Done:
Tested on one CT
Screenshots or GIFs (if applicable):
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