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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.

Pytorch 3d Medical Images Segmentation Salmon ⭐ 23

Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.

MIST: A simple, fully automated framework for 3D medical imaging segmentation.

cardiAc ultrasound Segmentation & Color-dopplEr dealiasiNg Toolbox (ASCENT)

LION: Born from MOOSE 2.0 lineage, this king excels in PET tumor segmentation. Harnessing 1014 Autopet datasets, it offers unparalleled precision in lesion detection. Tailor workflows, integrate seamlessly, and experience next-gen tech today!

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