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Total Segmentator
102 cases
Updated 4 months ago
DDicomTube
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)
2,059 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0058)
165 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0223)
94 views
6 months ago
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
Chest/Neck
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0250)
85 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0310)
76 views
6 months ago
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
Chest/Neck
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0344)
68 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0357)
61 views
6 months ago
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
Chest/Neck
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0358)
77 views
6 months ago
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
Pelvis
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0363)
63 views
6 months ago
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
Chest
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0407)
63 views
6 months ago
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
Chest/Neck
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0419)
63 views
6 months ago
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
Pelvis
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0425)
58 views
6 months ago
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
Chest/Neck
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0454)
65 views
6 months ago
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
Pelvis
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0461)
60 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0477)
63 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0481)
57 views
6 months ago
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
Chest/Neck
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0511)
67 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0513)
71 views
6 months ago
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
Abdomen
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0519)
62 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0522)
63 views
6 months ago
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
Chest
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0573)
80 views
6 months ago
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
Pelvis
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0582)
61 views
6 months ago
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
Chest
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0591)
65 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0629)
53 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0649)
68 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0703)
56 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0720)
63 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0726)
57 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0727)
62 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0747)
58 views
6 months ago
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
Chest/Neck
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0762)
75 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0763)
60 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0777)
57 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0811)
66 views
6 months ago
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
Chest
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0812)
75 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0815)
68 views
6 months ago
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
Pelvis
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0859)
63 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0866)
63 views
6 months ago
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
Chest
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0878)
62 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0885)
59 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0903)
67 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0908)
53 views
6 months ago
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
Chest
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0912)
61 views
6 months ago
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
Whole Body
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0914)
58 views
6 months ago
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
Chest/Neck
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0915)
53 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0928)
57 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0950)
52 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0963)
60 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0965)
60 views
6 months ago
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
CAP
CT
Body CT Anatomy Module from Total Segmentator Dataset (s0970)
61 views
6 months ago
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
Whole Body
CT