Localtab |
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active | true |
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title | Data Access |
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| Data AccessClick the Download button to save the data.
Data Type | Download all or Query/Filter |
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Images (DICOM) | | Full Radiologist Assessments of Image Features (CSV) | | Consensus Radiologist Assessments of Image Features (CSV) | | Clinical data (CSV) | | Genomic sub-type data (CSV) | |
Please contact help@cancerimagingarchive.net with any questions regarding usage. Collections Used in this Third Party Analysis Below is a list of the Collections used in these analyses: |
Localtab |
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title | Detailed Description |
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| Detailed Description
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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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| Publication Smith K, Clark K, Bennett W, Nolan T, Kirby J, Wolfsberger M, Moulton J, Vendt B, Freymann J. (2016). Radiology Data from The Cancer Genome Atlas Ovarian Cancer [TCGA-OV] collection. The Cancer Imaging Archive. Vargas, A., Huang, E., Lakhman, Y., Ippolito, J., Bhosale, P., Mellnick, V., Shinagare, A., Anello, M., Kirby, J., Fevrier-Sullivan, B., Freymann, J., Jaffe, C., & Sala, E. (2016). Imaging Features, and Correlations with Genomic and Clinical Data from the TCGA Ovarian Radiology Research Group. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2016.PSJOXM47 |
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title | Publication Citation |
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| Vargas, H. A., Huang, E. P., Lakhman, Y., Ippolito, J. E., Bhosale, P., Mellnick, V., Shinagare, A. B., Anello, M., Kirby, J., Fevrier-Sullivan, B., Freymann, J., Jaffe, C. C., & Sala, E. (2017). Radiogenomics of High-Grade Serous Ovarian Cancer: Multireader Multi-Institutional Study from the Cancer Genome Atlas Ovarian Cancer Imaging Research Group. Radiology, 285(2), 482-492. https://doi.org/10.1148/radiol.2017161870 |
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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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. Journal of Digital Imaging, 26(6), 1045–1057. https |
| http7937/K9/TCIA.2016.NDO1MDFQ |