NV-Segment-CTMR

345+ Class CT & MRI Segmentation

Non-Commercial

NV-Segment-CTMR is a 3D segmentation foundation model for both CT and MRI, producing label maps with 345+ anatomical classes across CT body, MRI body, and MRI brain. It runs two automatic workflows: segment everything for whole-body exploration, and segment by class for targeted structures such as individual organs. It is a 218M-parameter model built with MONAI, aimed at faster annotation in research workflows.

CT, MRI HuggingFace GitHub Paper

Agent skills

Run it with an agent

Install the skill, then just ask your agent in plain language. medagent.nv_segment_ctmr

install skill

npx skills add NVIDIA-Medtech/medical-AI-skills --skill nv-segment-ctmr

Try saying

“Run NV-Segment-CTMR on /data/ct_body.nii.gz for CT body segmentation and write outputs under runs/ctmr_case.”

“Run NV-Segment-CTMR on my abdominal MRI volume data/mr_abdomen.nii.gz and summarize the label map.”

“Segment the CT body scan at /data/ct_case.nii.gz with NV-Segment-CTMR and record the structures found under runs/case/.”

Skill on GitHub → Validation: Benchmark·Evals·Tests·Validators How agent skills work

Engineering & research use only — not a medical device, not for diagnosis or clinical decision-making. Skills follow the open Agent Skills spec.