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
Link upstream paper references
Browse files
README.md
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For research and education. Not validated for clinical use.
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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).
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For research and education. Not validated for clinical use.
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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).
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## Paper references
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- [Related SegResNet approach: 3D MRI Brain Tumor Segmentation Using Autoencoder Regularization](https://arxiv.org/abs/1810.11654).
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