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.
3d-segmentation
brain-segmentation
pet-ct
ct-segmentation
nnunet
organ-segmentation
tb-pet
bone-segmentation
muscle-segmentation
fat-segmentation
psoas-segmentation
total-body-segmentation
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Updated
Nov 7, 2024 - Python