Localtab |
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active | true |
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title | Data Access |
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| Data AccessData Type | Download all or Query/Filter |
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Images and Radiation Therapy Structures (DICOM, 9.3 GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/93258557/TCIA_Pancreatic-CT-CBCT-SEG_v1.tcia?api=v2 |
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Tcia button generator |
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label | Search |
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url | https://public.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=Pancreatic-CT-CBCT-SEG |
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(Download requires the NBIA Data Retriever) |
Click the Versions tab for more info about data releases. Please contact help@cancerimagingarchive.net with any questions regarding usage. |
Localtab |
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title | Detailed Description |
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| Detailed Description
| Radiology Image Statistics |
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Modalities | CT, RT | Number of Patients | 40 | Number of Studies | 40 | Number of Series | 240 | Number of Images | 16,962 | Images Size (GB) | 9.3 GB |
Some notes about abbreviations in the dataset: BSCB =“Bowel_sm” (i.e. small bowel) structure drawn on cone-beam CT LL, LR = Lung left, Lung right SDCB = Stomach-duodenum structure on cone-beam CT SBPC = misspelled, should be BSPC which stands for Bowel Small in planning CT SDPC = Stomach-duodenum on planning CT BSPC = Bowel Small on planning CT DIBH = “Deep inspiration breath hold”, may occur in the study description of the planning CT; will be explained in the text to users “UNAPPROVED” = means that the contours were not approved for clinical use but they were checked by the research team.
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Localtab |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy Tcia license 4 international |
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Info |
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| Hong, J., Reyngold, M., Crane, C., Cuaron, J., Hajj, C., Mann, J., Zinovoy, M., Yorke, E., LoCastro, E., Apte, A. P., & Mageras, G. (2021). Breath-hold CT and cone-beam CT images with expert manual organ-at-risk segmentations from radiation treatments of locally advanced pancreatic cancer [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.ESHQ-4D90 |
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title | Publication Citation |
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| Han, X., Hong, J., Reyngold, M., Crane, C., Cuaron, J., Hajj, C., Mann, J., Zinovoy, M., Greer, H., Yorke, E., Mageras, G., & Niethammer, M. (2021). Deep‐learning‐based image registration and automatic segmentation of organs‐at‐risk in cone‐beam CT scans from high‐dose radiation treatment of pancreatic cancer. Medical Physics, 48(6), 3084–3095. https://doi.org/10.1002/mp.14906 |
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| Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. https://doi.org/10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
Localtab |
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| Version 1 (Current): Updated 2021/10/15Data Type | Download all or Query/Filter |
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Images and Radiation Therapy Structures (DICOM, 9.3 GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/93258557/TCIA_Pancreatic-CT-CBCT-SEG_v1.tcia?api=v2 |
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Tcia button generator |
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label | Search |
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url | https://public.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=Pancreatic-CT-CBCT-SEG |
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| (Download requires the NBIA Data Retriever) |
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