segresnet-mlx
Segment brain tumors, renal structures and whole-body CT anatomy with MONAI SegResNet models in native MLX.
| Input | Output |
|---|---|
| MRI sequences or CT volumes | Segmentation on the input grid |
Apple Silicon · Metal · Python 3.13 / 3.14 · uv
Quick start
uv venv --python 3.13
source .venv/bin/activate
uv pip install "segresnet-mlx>=0.3.0"
from segresnet_mlx.medmlx import brats
result = brats(
t1c_path="t1c.nii.gz", t1_path="t1.nii.gz", t2_path="t2.nii.gz",
flair_path="flair.nii.gz", output_dir="out",
)
print(result["outputs"]["mask"])
The registered models are segresnet-brats and segresnet-renal-cect. Their brats
and renal_cect runners select the matching bundle internally and download
MedMLX/segresnet-brats-mlx or MedMLX/segresnet-renal-cect-mlx when weights_path
is omitted. An explicit folder contains segresnet-brats.safetensors for BraTS or
segresnet-renal-cect.safetensors for renal CECT. The renal runner takes
arterial_path, venous_path and excretory_path. Keep each model's input volumes
on one voxel grid.
The standalone run(bundle=..., weights_path=...) interface remains available for
explicit local checkpoints, including the whole-body CT variants. Published native
weights are also available for renal CECT
and whole-body CT.
Downloaded commits are returned in details.weights_revision; explicit local
weights report null unless the folder carries a MedMLX download revision.
License
Apache-2.0; license and third-party notices are included in the distribution. Model weights retain their publisher terms.
For research and education. Outputs require human review.
1 maintainer
Metadata
1 maintainer
Release files for segresnet-mlx 0.3.0
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| File | Size | Uploaded | Provenance | Actions |
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| segresnet_mlx-0.3.0.tar.gz | 35.5 kB | Without provenance | Details for segresnet_mlx-0.3.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| segresnet_mlx-0.3.0-py3-none-any.whl | Python 3 | none | any | Details for segresnet_mlx-0.3.0-py3-none-any.whl |
Total release size: 78.2 kB
Release files / segresnet_mlx-0.3.0.tar.gz
| Download URL | segresnet_mlx-0.3.0.tar.gz |
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| Tags | Python 3 |
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