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  • Task-Based Anthropomorphic CT Phantom for Radiomics Stability and Discriminatory Power Analyses (CT-Phantom4Radiomics)

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  • This work was partly supported by the Swiss Personalized Health Network (SPHN) with the QA4IQI Quality assessment for interoperable quantitative computed tomography imaging project DMS2445 and the IMAGINE project. It was also partially supported by the Swiss National Science Foundation (SNSF, grant 205320_179069).

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titleData Access

Data Access



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Images, Segmentations, and Radiation Therapy Structures/Doses/Plans (DICOM, XX.X GB)

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Additional Resources for this Dataset

Note to curators! Use this any time you are linking to NCI's IDC/GDC/PDC resources.  The links below are examples and will need to be tailored to point to the specific dataset (see parameters in URLS).

Nci_crdc additional resources

The following external resources have been made available by the data submitters.  These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection.



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titleDetailed Description

Detailed Description

Image Statistics

Radiology Image StatisticsPathology Image Statistics

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titleCitations & Data Usage Policy

Citations & Data Usage Policy

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titleData Citation

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titlePublication Citation

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titleAcknowledgement

Required acknowledgements only (ex:The CPTAC program requests that publications using data from this program...). If they just want to thank someone, that goes in the Acknowledgement section underneath the Summary.


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titleTCIA Citation

Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC.https://doi.org/10.1007/s10278-013-9622-7

Other Publications Using This Data

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titleVersions

Version X (Current): Updated yyyy/mm/dd

Data TypeDownload all or Query/FilterLicense

Images, Segmentations, and Radiation Therapy Structures/Doses/Plans (DICOM, XX.X GB)

<< latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >>


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Tissue Slide Images (SVS, XX.X GB)


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Clinical data (CSV)


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