| license: apache-2.0 | |
| 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" | |
| } |