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:
Changed the old preclinical model with a new one
Changes Made:
Related Issues:
Testing Done:
Did testing for on the three cases not used in training
Reviewer Checklist: