Total Segmentator
Multiple body CT anatomy modules. Cases and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license.
Citation:
Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0011)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: tumor Pathology Location: thorax,abdomen,pelvisCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0058)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: tumor Pathology Location: abdomenCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0223)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0250)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0310)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0344)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: inflammation Pathology Location: abdomenCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0357)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0358)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: trauma Pathology Location: abdomenCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0363)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0407)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0419)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: unclear Pathology Location: unclearCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0425)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: other Pathology Location: thoraxCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0454)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: trauma Pathology Location: extremityCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0461)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0477)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: tumor Pathology Location: abdomenCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0481)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0511)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: trauma Pathology Location: thoraxCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0513)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: unclear Pathology Location: unclearCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0519)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: tumor Pathology Location: thoraxCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0522)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0573)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: trauma Pathology Location: pelvisCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0582)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0591)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: trauma Pathology Location: thoraxCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0629)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: tumor Pathology Location: thorax,abdomen,bonesCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0649)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: tumor Pathology Location: thoraxCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0703)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: tumor Pathology Location: thorax,abdomenCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0720)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: tumor Pathology Location: throatCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0726)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: tumor Pathology Location: thorax,abdomen,bonesCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0727)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: trauma Pathology Location: extremityCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0747)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: other Pathology Location: thoraxCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0762)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: vascular Pathology Location: thoraxCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0763)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: trauma Pathology Location: thoraxCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0777)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0811)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0812)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: trauma Pathology Location: throatCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0815)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: inflammation Pathology Location: pelvisCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0859)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: inflammation Pathology Location: thoraxCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0866)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: inflammation Pathology Location: thoraxCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0878)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: tumor Pathology Location: throat,thoraxCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0885)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: inflammation Pathology Location: thoraxCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0903)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0908)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0912)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: inflammation Pathology Location: thoraxCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0914)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0915)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0928)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0950)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: tumor Pathology Location: abdomen,bonesCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0963)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: inflammation Pathology Location: abdomen,pelvisCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0965)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: other Pathology Location: abdomenCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292
Body CT Anatomy Module from Total Segmentator Dataset (s0970)
Case and segmentations are taken directly from the Total Segmentator dataset, which is distributed under the CC Attribution 4.0 International license. If interested, you may display a default 3D view of the segmentations via the settings button in the bottom right corner of the DicomTube player.The following additional metadata are provided for this particular case in the dataset:Pathology: no_pathology Pathology Location: no_locationCitation:Jakob Wasserthal. (2023). Dataset with segmentations of 117 important anatomical structures in 1228 CT images (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10047292