Image Segmentation
MLX
English
native-mlx
apple-silicon
medical-imaging
mri
ct
brain
head
segmentation
nnunet
research
Instructions to use MedMLX/siam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MedMLX/siam with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download MedMLX/siam --local-dir siam
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download dataset.json from MedMLX/siam: direct link, hf CLI and curl.
- Browser
- Download file 488 Bytes
-
https://huggingface.co/MedMLX/siam/resolve/main/dataset.json
- Command line
-
hf download hf://MedMLX/siam/dataset.json
-
curl -L -o dataset.json https://huggingface.co/MedMLX/siam/resolve/main/dataset.json
488 Bytes
| { | |
| "channel_names": { | |
| "0": "T1" | |
| }, | |
| "labels": { | |
| "background": 0, | |
| "GM": 1, | |
| "WM": 2, | |
| "CSF": 3, | |
| "CSFv": 4, | |
| "cerGM": 5, | |
| "Thal": 6, | |
| "Pal": 7, | |
| "Put": 8, | |
| "Caud": 9, | |
| "Accu": 10, | |
| "Amyg": 11, | |
| "Hippo": 12, | |
| "Dura": 13, | |
| "vascular": 14, | |
| "Skull": 15, | |
| "Head": 16, | |
| "Anomalies": 17 | |
| }, | |
| "numTraining": 5942, | |
| "file_ending": ".nii.gz" | |
| } |