TotalSegmentator CT Dataset

In 1204 CT images we segmented 104 anatomical structures (27 organs, 59 bones, 10 muscles, 8 vessels) covering a majority of relevant classes for most use cases. The CT images were randomly sampled from clinical routine, thus representing a real world dataset which generalizes to clinical application. The dataset contains a wide range of different pathologies, scanners, sequences and institutions. s0720/segmentations/portal_vein_and_splenic_vein.nii.gz187.74kB s0720/segmentations/pancreas.nii.gz45.25kB s0720/segmentations/lung_upper_lobe_right.nii.gz218.92kB s0720/segmentations/lung_upper_lobe_left.nii.gz230.82kB s0720/segmentations/lung_middle_lobe_right.nii.gz201.18kB s0720/segmentations/lung_lower_lobe_right.nii.gz240.63kB s0720/segmentations/lung_lower_lobe_left.nii.gz239.49kB s0720/segmentations/liver.nii.gz273.08kB s0720/segmentations/kidney_right.nii.gz198.91kB s0720/segmentations/kidney_left.nii.gz197.82kB s0720/segmentations/inferi

在1204张CT图像中，我们对104个解剖结构（27个器官、59个骨骼、10块肌肉、8个血管）进行了分割，这些结构涵盖了大多数应用场景中相关的类别。CT图像是从临床常规中随机抽取的，因此代表了具有现实世界特性的数据集，该数据集能够推广至临床应用。数据集包含了广泛的不同病理学、扫描仪、序列和机构的病例。