Built on the robust nn-UNet framework, MOOSE can identify 120 unique tissue classes from whole-body 18F-FDG PET/CT images, accepting inputs as either combined PET/CT images or CT-only images.
MOOSE offers a wide range of segmentation models catering to various clinical and preclinical needs:
Lungs
Organs
Body
Ribs
Muscles
Peripheral bones
All bones
Fat
Vertebrae
Cardiac
Digestive
Brain
Legs
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