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.gz 187.74kB s0720/segmentations/pancreas.nii.gz 45.25kB s0720/segmentations/lung_upper_lobe_right.nii.gz 218.92kB s0720/segmentations/lung_upper_lobe_left.nii.gz 230.82kB s0720/segmentations/lung_middle_lobe_right.nii.gz 201.18kB s0720/segmentations/lung_lower_lobe_right.nii.gz 240.63kB s0720/segmentations/lung_lower_lobe_left.nii.gz 239.49kB s0720/segmentations/liver.nii.gz 273.08kB s0720/segmentations/kidney_right.nii.gz 198.91kB s0720/segmentations/kidney_left.nii.gz 197.82kB s0720/segmentations/inferi

About

This is a derivative of the TotalSegmentator dataset.

1228 CT images and corresponding segmentation mask of 117 structures We combined multiple segmentation masks into a single nii.gz file under the folder Masks, and moved all CT images to the folder Images. All images and masks are renamed according to case IDs.

This dataset is released under the CC-BY-4.0 license.

  Official Release

GitHub (official): https://github.com/wasserth/TotalSegmentator (Apache-2.0… See the full description on the dataset page: https://huggingface.co/datasets/YongchengYAO/TotalSegmentator-CT-Lite.