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Point website links to flexray.csail.mit.edu

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  # FleXray: `VictorButoi/flexray`
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- - Website and in-browser demo: [victorbutoi.github.io/FleXray](https://victorbutoi.github.io/FleXray/)
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  - Code: [github.com/VictorButoi/FleXray](https://github.com/VictorButoi/FleXray)
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  - Data: [`VictorButoi/flexray-data`](https://huggingface.co/datasets/VictorButoi/flexray-data)
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  - Tutorial: [Colab notebook](https://colab.research.google.com/drive/1MNIeN9LN-tY8wAifWSolxmFZi3Q0BlVX)
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  pelvis. Against generalist baselines (FluoroSAM, TotalSegmentator2D, PAXray)
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  it achieves the highest macro Dice in every comparison (9 of 9). Per-dataset
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  numbers and confidence intervals are in the paper; the benchmark figure is on
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- the [project website](https://victorbutoi.github.io/FleXray/#results).
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  Evaluation ignores ground-truth labels covering less than 0.1% of the image.
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  ## Intended use and limitations
 
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  # FleXray: `VictorButoi/flexray`
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+ - Website and in-browser demo: [flexray.csail.mit.edu](https://flexray.csail.mit.edu/)
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  - Code: [github.com/VictorButoi/FleXray](https://github.com/VictorButoi/FleXray)
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  - Data: [`VictorButoi/flexray-data`](https://huggingface.co/datasets/VictorButoi/flexray-data)
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  - Tutorial: [Colab notebook](https://colab.research.google.com/drive/1MNIeN9LN-tY8wAifWSolxmFZi3Q0BlVX)
 
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  pelvis. Against generalist baselines (FluoroSAM, TotalSegmentator2D, PAXray)
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  it achieves the highest macro Dice in every comparison (9 of 9). Per-dataset
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  numbers and confidence intervals are in the paper; the benchmark figure is on
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+ the [project website](https://flexray.csail.mit.edu/#results).
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  Evaluation ignores ground-truth labels covering less than 0.1% of the image.
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  ## Intended use and limitations