
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:
{
  "0": "background",
  "1": "C1",
  "10": "T3",
  "11": "T4",
  "12": "T5",
  "13": "T6",
  "14": "T7",
  "15": "T8",
  "16": "T9",
  "17": "T10",
  "18": "T11",
  "19": "T12",
  "2": "C2",
  "20": "L1",
  "21": "L2",
  "22": "L3",
  "23": "L4",
  "24": "L5",
  "3": "C3",
  "4": "C4",
  "5": "C5",
  "6": "C6",
  "7": "C7",
  "8": "T1",
  "9": "T2"
}
{"license": "apache-2.0"}
license:apache-2.0 region:us
TAGS
#license-apache-2.0 #region-us 


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:
{
  "0": "background",
  "1": "C1",
  "10": "T3",
  "11": "T4",
  "12": "T5",
  "13": "T6",
  "14": "T7",
  "15": "T8",
  "16": "T9",
  "17": "T10",
  "18": "T11",
  "19": "T12",
  "2": "C2",
  "20": "L1",
  "21": "L2",
  "22": "L3",
  "23": "L4",
  "24": "L5",
  "3": "C3",
  "4": "C4",
  "5": "C5",
  "6": "C6",
  "7": "C7",
  "8": "T1",
  "9": "T2"
}
TAGS
#license-apache-2.0 #region-us 
