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| active | true |
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| title | Data Access |
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| Data Access| Data Type | Download all or Query/Filter |
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Images (DICOM, 41.8 GB)
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(Download requires the NBIA Data Retriever) |
Click the Versions tab for more info about data releases. Please contact help@cancerimagingarchive.net with any questions regarding usage. |
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| title | Detailed Description |
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| Detailed DescriptionImage Statistics |
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Modalities | CT | Number of Patients | 3 | Number of Studies | 5 | Number of Series | 503 | Number of Images | 79,059 | | Images Size (GB) | 41.8 |
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| title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy
| Tcia license 4 international |
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| Info |
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| Zhao, B., Li, Q., Liang, Y., Yang, H., Gavrielides, M. A., Schwartz, L. H., Sullivan, D. C., & Petrick, N. A. (2021). QIBA Anthropomorphic Abdominal Phantom CT Scans [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.RMV0-9Y95 |
| Info |
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| title | PVP and AP Publication Citation |
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| Li, Q., BermanLiang, B. PY., Huang, Q., SchumacherZong, JM., LiangBerman, YB., Gavrielides, M. A., YangSchwartz, L. H., Zhao, B., & Petrick, N. (20172016). The effects of iterative reconstruction in CT on Volumetry of low-contrast liver lesion volumetry: lesions with CT: Investigation of estimation uncertainties in a phantom study. In S. G. Armato & N. A. Petrick (Eds.), Medical Imaging 2017: Computer-Aided Diagnosis. SPIEMedical Physics, 43(12), 6608–6620. https://doi.org/10.11171118/12.22557431.4967776 |
| Info |
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| title | IR Publication Citation |
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| Li, Q., LiangBerman, Y., Huang, QB. P., ZongSchumacher, MJ., BermanLiang, BY., Gavrielides, M. A., SchwartzYang, L. H., Zhao, B., & Petrick, N. (20162017). Volumetry of The effects of iterative reconstruction in CT on low-contrast liver lesions with CT: Investigation of estimation uncertainties in lesion volumetry: a phantom study. Medical Physics, 43(12), 6608–6620. In S. G. Armato & N. A. Petrick (Eds.), Medical Imaging 2017: Computer-Aided Diagnosis. SPIE. https://doi.org/10.11181117/1.4967776 (JK, Dr. Zhao sent two citations. Can we use both or just one?)12.2255743 |
| 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. (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 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 1 (Current): 2021/02/19| Data Type | Download all or Query/Filter |
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| Images (DICOM, 41.8 GB) | |
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