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  license: apache-2.0
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  ---
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- nnUNetv1 model trained for ~1 month on a single A6000 GPU using 1,578 CT volumes from VerSe and TotalSegmentator. As VerSe does not label vertebrae that appear partially in the image, we crop out the inferior-most 20 pixels and superior-most 20 pixels of all VerSe scans. All volumes are resampled to 1.5mm spacing in all dimensions and mirroring is disabled, following the strategy of TotalSegmentator. Label values are as follows:
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  {
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  "0": "background",
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  "1": "C1",
 
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  license: apache-2.0
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  ---
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+ nnUNetv1 model trained for ~1 month on a single A6000 GPU using 1,578 CT volumes from VerSe and TotalSegmentator. As VerSe does not label vertebrae that appear partially in the image, we crop out the inferior-most 20 pixels and superior-most 20 pixels of all VerSe scans. All volumes are resampled to 1.5mm spacing in all dimensions, reoriented to RAS+, and the mirroring training augmentation is disabled, following the strategy of TotalSegmentator. Label values are as follows:
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  {
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  "0": "background",
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  "1": "C1",