---
title: "NV-Segment-CTMR — 345+ Class CT & MRI Segmentation"
description: "Automatic segmentation of 345+ anatomical structures across CT body, MRI body, and MRI brain modalities."
canonical: https://nvidia-medtech.github.io/models/nv-segment-ctmr.html
audience: [engineer, researcher]
last_updated: 2026-06-10
source: models/nv-segment-ctmr.html
---
# NV-Segment-CTMR

345+ Class CT & MRI Segmentation

Non-Commercial

Automatic segmentation of 345+ anatomical structures across CT body, MRI body, and MRI brain modalities.

CT, MRI [HuggingFace](https://huggingface.co/nvidia/NV-Segment-CTMR) [GitHub](https://github.com/NVIDIA-Medtech/NV-Segment-CTMR) [Paper](https://arxiv.org/abs/2406.05285)

### Run it with an agent

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

install skill Copy

```bash
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 a raw MRI brain scan and tell me if the result is clinically valid.”

“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 →](https://github.com/NVIDIA-Medtech/medical-AI-skills/tree/dev/skills/nv-segment-ctmr) [How agent skills work](https://agentskills.io)

Engineering & research use only — not a medical device, not for diagnosis or clinical decision-making. Skills follow the open [Agent Skills spec](https://agentskills.io).