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@@ -21,6 +21,8 @@ The model also works with single 2D images.
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  The model is trained on the publicly available [TotalSegmentator dataset](https://zenodo.org/records/10047292), version 2.0.1. It predicts 117 labels corresponding to the
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  available labels from TotalSegmentator. The classification labels were generated from the provided segmentation labels.
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  ## Example Usage
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  ```
 
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  The model is trained on the publicly available [TotalSegmentator dataset](https://zenodo.org/records/10047292), version 2.0.1. It predicts 117 labels corresponding to the
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  available labels from TotalSegmentator. The classification labels were generated from the provided segmentation labels.
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+ Note that the model expects one channel. If you create a multi-channel image using multiple CT windows, simply take the mean across channels.
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  ## Example Usage
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  ```