NV-Segment-CT

132-Class CT Segmentation

Commercial

Automatic and interactive segmentation of 132 anatomical structures in CT images with point-click refinement.

CT HuggingFace GitHub Paper

Run it with an agent

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

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

Try saying

“Segment spleen, liver, right kidney, and left kidney from my CT NIfTI volume at /data/case.nii.gz using NV-Segment-CT.”

“Run NV-Segment-CT on data/abdomen.nii.gz and give me the full label map with the structures it found.”

“Use NV-Segment-CT to segment the lungs and heart from my chest CT NIfTI and write the label map to runs/case/.”

Skill on GitHub → How agent skills work

Finetune it with an agent

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

install skill 
npx skills add NVIDIA-Medtech/medical-AI-skills --skill nv-segment-ct-finetune

Try saying

“I have an MSD-style CT segmentation dataset at /data/msd_case. Do the shortest smoke-scale NV-Segment-CT finetune check first.”

“Finetune NV-Segment-CT VISTA3D on my labeled CT dataset at /data/liver_ct using the single-GPU smoke recipe and report the before/after Dice.”

Skill on GitHub → 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.