Turn CT volumes into label maps and run evidence.
What it does
Segments CT NIfTI volumes and returns label maps with engineering evidence.
When to use it
Use for CT NIfTI segmentation and label-map evidence, not clinical interpretation.
How to use it
Give it a CT NIfTI volume and a run directory; it runs the documented wrapper to produce segmentation masks and JSON evidence.
What you provide
- a CT NIfTI path
- a run directory
- Your files
Uses
Latest review
What you need · 8
Requires Python 3.10 with venv support; dependencies must be installed in a dedicated environment.
The pinned upstream model requirements include Torch 2.0.1.
Access · 5
This skill
huggingface.co
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Downloads the model bundle
raw.githubusercontent.com
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Fetches pinned model requirements