nnU-Net · Liver & Tumor

Segment liver and tumor labels from 3D CT with nnU-Net, locally on Apple Silicon.

Input	Output
3D CT · NIfTI	Liver and tumor segmentation

Apple Silicon · Metal · Python 3.13 / 3.14

Quick start

uv venv --python 3.13
source .venv/bin/activate

uv pip install "nnunet-mlx==0.5.1"
uv tool install huggingface-hub

hf download MedMLX/nnunet-liver-mlx --local-dir models

Replace the example input paths with your own files.

from nnunet_mlx.medmlx import run

result = run(
    model_dir='models',
    image_paths=['image.nii.gz'],
    output_dir='outputs',
    folds=[0],
    use_mirroring=False,
    step_fraction=0.5,
)
print(result["outputs"])

Use & license

For research and education. Not validated for clinical use.

Weights: CC-BY-4.0. Notices.

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MLX

Hardware compatibility

Quantized