Image Segmentation
MLX
English
native-mlx
apple-silicon
medical-imaging
mri
brain-tumor
segmentation
research
Instructions to use MedMLX/segresnet-brats-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MedMLX/segresnet-brats-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download MedMLX/segresnet-brats-mlx --local-dir segresnet-brats-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Update model card for current runtime release
Browse files
README.md
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Segment brain tumor regions from four MRI sequences with the MONAI SegResNet checkpoint.
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[GitHub](https://github.com/MedMLX/segresnet-mlx) 路 [Files](https://huggingface.co/MedMLX/segresnet-brats-mlx/tree/main) 路 [Docs](https://github.com/MedMLX/segresnet-mlx/blob/main/README.md#
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| Input | Output |
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Segment brain tumor regions from four MRI sequences with the MONAI SegResNet checkpoint.
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[GitHub](https://github.com/MedMLX/segresnet-mlx) 路 [Files](https://huggingface.co/MedMLX/segresnet-brats-mlx/tree/main) 路 [Docs](https://github.com/MedMLX/segresnet-mlx/blob/main/README.md#run) 路 [Paper](https://doi.org/10.64898/2026.10.28.26366762)
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