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, 3 GB) | | Image Analyses, Proteogenomic features, and Clinical data (CSV) | |
Note: 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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Info |
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| Beer, L., Sahin, H., Blazic, I., Vargas, H. A., Veeraraghavan, H., Kirby, J., Fevrier-Sullivan, B., Freymann, J., Jaffe, C., Conrads, T., Maxwell, G., Darcy, K., Huang, E., & Sala, E. (2019). Data from Integration of CT-based Qualitative and Radiomic Features with Proteomic Variables in Patients with High-Grade Serous Ovarian Cancer: An Exploratory Analysis. [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2019.9stoinf1 |
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title | Publication Citation |
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| Beer, L., Sahin, H., Bateman, N. W., Blazic, I., Vargas, H. A., Veeraraghavan, H., Kirby, J., Fevrier-Sullivan, B., Freymann, J. B., Jaffe, C. C., Brenton, J., Miccó, M., Nougaret, S., Darcy, K. M., Maxwell, G. L., Conrads, T. P., Huang, E., & Sala, E. (2020). Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis. European Radiology, 30(8), 4306–4316. https://doi.org/10.1007/s00330-020-06755-3 |
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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://doi.org/10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA maintains a list of publications that 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): 2020/04/06
Data Type | Download all or Query/Filter |
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Images (DICOM, 3 GB) | | Image Analyses, Proteogenomic features, and Clinical data (CSV) | |
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