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segresnet-renal-cect-mlx

Image Segmentation
MLX
English
native-mlx
apple-silicon
medical-imaging
ct
kidney
segmentation
research
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Install the published PyPI release

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README.md CHANGED
@@ -37,7 +37,7 @@ Segment renal structures from three-phase contrast-enhanced CT with native MLX.
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  uv venv --python 3.13
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  source .venv/bin/activate
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- uv pip install "segresnet-mlx @ git+https://github.com/MedMLX/segresnet-mlx.git@197b670fb805189c1e63dabb10270abac7c08b8b"
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  uv tool install huggingface-hub
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  hf download MedMLX/segresnet-renal-cect-mlx --revision fa67ec6dca88f1dbbf6f52d6061b34ddefe45057 --local-dir models
 
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  uv venv --python 3.13
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  source .venv/bin/activate
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+ uv pip install "segresnet-mlx>=0.3.1"
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  uv tool install huggingface-hub
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  hf download MedMLX/segresnet-renal-cect-mlx --revision fa67ec6dca88f1dbbf6f52d6061b34ddefe45057 --local-dir models