Localtab |
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active | true |
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title | Data Access |
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| Data Access Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.
Click the Versions tab for more info about data releases. |
Localtab |
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title | Detailed Description |
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| Detailed Description
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Modalities | MR (with some PET/CT) | Number of Participants | 26 | Number of Studies | 26 | Number of Series | 182 | Number of Images | 22,036 | Image Size (GB) | 3.2 |
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Localtab |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy Public collection license |
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Info |
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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. (paper) |
Other Publications Using This DataTCIA maintains a list of publications that leverage our data. If you have a publication you'd like to add, please contact the TCIA Helpdesk. - Mayer, R., Simone II, C. B., Turkbey, B., & Choyke, P. (2021). Correlation of prostate tumor eccentricity and Gleason scoring from prostatectomy and multi-parametric-magnetic resonance imaging. In Quantitative Imaging in Medicine and Surgery (Vol. 11, Issue 10, pp. 4235–4244). AME Publishing Company. https://doi.org/10.21037/qims-21-24
- Mayer, R., Simone II, C. B., Turkbey, B., & Choyke, P. (2021). Algorithms applied to spatially registered multi-parametric MRI for prostate tumor volume measurement. In Quantitative Imaging in Medicine and Surgery (Vol. 11, Issue 1, pp. 119–132). AME Publishing Company. https://doi.org/10.21037/qims-20-137a
- Mayer, R., Simone, C. B., II, Skinner, W., Turkbey, B., & Choykey, P. (2018). Pilot study for supervised target detection applied to spatially registered multiparametric MRI in order to non-invasively score prostate cancer. In Computers in Biology and Medicine (Vol. 94, pp. 65–73). Elsevier BV. https://doi.org/10.1016/j.compbiomed.2018.01.003
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Localtab |
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| Version 1 (Current): Updated 2011/06/30
Data Type | Download all or Query/Filter |
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Images (DICOM, 3.2GB) | | Pathology Images (JPEG) | |
Update May 2018: The download of these data is no longer Limited to users with specific permission from the PIs of the Collection. |
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