Localtab |
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title | Data Access |
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| Data AccessData Type | Download all or Query/Filter | License |
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Images (NIfTI, 12.71 GB) First dataset |
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url | https://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/44?passcode=7f03b74391b2da371d9e393255847aa60027f6c0 |
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(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) | | Images (NIfTI, 2 GB) Second dataset |
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url | https://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/134?passcode=c6849b3481a1b240daebc7e3c50e1e4f7e3fa424 |
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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 DescriptionImage Statistics |
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Modalities | CT | Number of Patients | 661 | Number of Series | 771 | Images Size (GB) | 14.7 |
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Localtab |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy Tcia limited license policy |
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| An, P., Xu, S., Harmon, S. A., Turkbey, E. B., Sanford, T. H., Amalou, A., Kassin, M., Varble, N., Blain, M., Anderson, V., Patella, F., Carrafiello, G., Turkbey, B. T., & Wood, B. J. (2020). CT Images in COVID-19 [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2020.GQRY-NC81 |
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title | Publication Citation |
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| Link to publication below contains AI model that was only partly derived from this data, but also from other data, not present here on TCIA. Harmon, S. A., Sanford, T. H., Xu, S., Turkbey, E. B., Roth, H., Xu, Z., Yang, D., Myronenko, A., Anderson, V., Amalou, A., Blain, M., Kassin, M., Long, D., Varble, N., Walker, S. M., Bagci, U., Ierardi, A. M., Stellato, E., Plensich, G. G., … Franceschelli, G., Girlando, C., Irmici, G., Labella, D., Hammoud, D., Malayeri, A., Jones, E., Summers, R. M., Choyke, P.L., Xu, D., Flores, M., Tamura, K., Obinata, H., Mori, H., Patella, F., Cariati, M., Carrafiello, G., An, P., Wood, B. J., & Turkbey, B. (2020). Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets. Nature Communications, 11(1). https://doi.org/10.1038/s41467-020-17971-2 |
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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 |
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| The Multi-national NIH Consortium for CT AI in COVID-19. |
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 2 (Current): Updated 2021/05/25Data Type | Download all or Query/Filter |
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Images (NIfTI, 12.71 GB) First dataset |
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url | https://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/44?passcode=7f03b74391b2da371d9e393255847aa60027f6c0 |
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| Images (NIfTI, 2 GB) Second dataset |
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url | https://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/134?passcode=c6849b3481a1b240daebc7e3c50e1e4f7e3fa424 |
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Added second dataset, 29 patients/121 CT images. Version 1: Updated 2020/08/31Data Type | Download all or Query/Filter |
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Images (NIfTI, 12.71 GB) |
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url | https://faspex.cancerimagingarchive.net/aspera/faspex/external_deliveries/44?passcode=7f03b74391b2da371d9e393255847aa60027f6c0 |
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