| --- |
| license: apache-2.0 |
| library_name: mlx |
| tags: |
| - mlx |
| - native-mlx |
| - apple-silicon |
| - medical-imaging |
| - mri |
| - brain-tumor |
| - segmentation |
| - research |
| language: |
| - en |
| inference: false |
| pipeline_tag: image-segmentation |
| base_model: MONAI/brats_mri_segmentation |
| --- |
| |
| <img src="https://huggingface.co/MedMLX/segresnet-brats-mlx/resolve/main/banner.png" alt="MedMLX — Segment. BRAIN MRI / SEGRESNET" width="100%"> |
|
|
| # SegResNet · Brain Tumor |
|
|
| Segment brain tumor regions from four MRI sequences with the MONAI SegResNet checkpoint. |
|
|
| [GitHub](https://github.com/MedMLX/segresnet-mlx) · [Files](https://huggingface.co/MedMLX/segresnet-brats-mlx/tree/main) · [Docs](https://github.com/MedMLX/segresnet-mlx/blob/main/README.md#run) · [Paper](https://doi.org/10.64898/2026.10.28.26366762) |
|
|
| | Input | Output | |
| | :--- | :--- | |
| | T1, T1ce, T2 + FLAIR · NIfTI | Brain tumor segmentation | |
|
|
| **Apple Silicon · Metal · Python 3.13** |
|
|
| ## Quick start |
|
|
| ```bash |
| uv venv --python 3.13 |
| source .venv/bin/activate |
| |
| uv pip install "segresnet-mlx>=0.3.1" |
| uv tool install huggingface-hub |
| |
| hf download MedMLX/segresnet-brats-mlx --revision 14f9cda3649965729663c7365c49fd839c81a01b --local-dir models |
| ``` |
|
|
| Replace the example input paths with your own files. |
|
|
| ```python |
| from segresnet_mlx.medmlx import run |
| |
| result = run( |
| bundle='brats_mri_segmentation', |
| weights_path='models/segresnet-brats.safetensors', |
| output_dir='outputs', |
| t1c_path='T1gd.nii.gz', |
| t1_path='T1w.nii.gz', |
| t2_path='T2w.nii.gz', |
| flair_path='FLAIR.nii.gz', |
| ) |
| print(result["outputs"]) |
| ``` |
|
|
| All four MRI volumes must share the same voxel grid. |
|
|
| ## Use & license |
|
|
| For research and education. Not validated for clinical use. |
|
|
| Weights: [Apache-2.0](https://huggingface.co/MedMLX/segresnet-brats-mlx/blob/main/LICENSE). [Notices](https://huggingface.co/MedMLX/segresnet-brats-mlx/blob/main/NOTICE). |
|
|
| ## Paper references |
|
|
| - [Related SegResNet approach: 3D MRI Brain Tumor Segmentation Using Autoencoder Regularization](https://arxiv.org/abs/1810.11654). |
|
|
| ## Citation |
|
|
| If you use MedMLX, please cite the [MedMLX paper](https://doi.org/10.64898/2026.10.28.26366762): |
|
|
| ```bibtex |
| @article{sandoval2026medmlx, |
| title = {MedMLX: On-Device Medical Imaging AI for Apple Silicon}, |
| author = {Sandoval, A. and Sandoval, J. and Saleem, A.}, |
| journal = {medRxiv}, |
| year = {2026}, |
| doi = {10.64898/2026.10.28.26366762} |
| } |
| ``` |
|
|
