synthseg-mlx
Segment brain MRI or CT with SynthSeg in native MLX. Includes cortical parcellation, structure volumes and QC scores.
SynthSeg 2.0 parcellation of an NV-Generate synthetic T1 MR.
| Input | Output |
|---|---|
| 3D brain MRI or CT · NIfTI | Brain labels, volumes and QC |
Apple Silicon · Metal · Python 3.13 / 3.14 · uv
Quick start
uv venv --python 3.13
source .venv/bin/activate
repo="https://github.com/MedMLX/synthseg-mlx"
uv pip install "synthseg-mlx @ git+$repo"
Download and unzip the author’s SynthSeg models, then run:
from synthseg_mlx.medmlx import run
result = run(image_path="brain.nii.gz", weights_path="SynthSeg_models", output_dir="out")
print(result["outputs"]["mask"])
Reads the original Keras checkpoints without TensorFlow. Output masks use the resampled 1 mm grid, rather than the original voxel grid.
License
Apache-2.0. See third-party notices. Model weights retain their publisher terms.
For research and education. Outputs require human review.
Metadata
Release files for synthseg-mlx 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| synthseg_mlx-0.2.1.tar.gz | 51.1 kB | Without provenance | Details for synthseg_mlx-0.2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| synthseg_mlx-0.2.1-py3-none-any.whl | Python 3 | none | any | Details for synthseg_mlx-0.2.1-py3-none-any.whl |
Total release size: 118.0 kB
Release files / synthseg_mlx-0.2.1.tar.gz
| Download URL | synthseg_mlx-0.2.1.tar.gz |
|---|---|
| Size | 51.1 kB |
| Tags | Source |
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Release files / synthseg_mlx-0.2.1-py3-none-any.whl
| Download URL | synthseg_mlx-0.2.1-py3-none-any.whl |
|---|---|
| Size | 66.9 kB |
| Tags | Python 3 |
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