domains / families / science / nv-segment-ct
nv-segment-ct
separate
Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence.
When to use
- Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence. Not for clinical interpretation.
- Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation.
- Manifest I/O: inputs are `ct_volume`; outputs are `label_map` and `result_json`.
When not to use
- This is a thin wrapper. Inference, preprocessing, and postprocessing are delegated entirely to the official `hugging_face_pipeline.HuggingFacePipelineHelper` in bundle/. Do not modify code under bundle/.
- `transformers==4.46.3` is the wrapper compatibility overlay tested with the upstream requirements' Torch 2.0.1; newer Transformers releases can disable that older Torch backend.
- The pinned upstream requirements include Torch 2.0.1. Use only the pinned NVIDIA model assets; do not load untrusted checkpoints in this legacy reproduction environment.
- Device auto-detected (cuda if available, else cpu); `--device` flag overrides.
- Output may be schema-valid but semantically empty (e.g. label prompts that do not match the input anatomy). Sanity gates assert at least one foreground voxel per requested anatomy.
- Not for clinical deployment, clinical interpretation, autonomous diagnosis, regulatory submission.
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