Localtab |
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active | true |
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title | Data Access |
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| 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. Data Type | Download all or Query/Filter |
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Images (DICOM, XX.X GB) | Image Modified Image Modified
(Requires NBIA Data Retriever.) | Images (NIfTI, zip) | | Supplemental | Data format) Image RemovedThe download and search buttons will not work for DICOM images until the collection has completed curation. Click the Versions tab for more info about data releases. |
Localtab |
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title | Detailed Description |
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Modalities | DICOM, NIfTICT, SEG | Number of Patients | 32 | Number of Studies | 32 | Number of Series | 64 | Number of Images | 9632 | Images Size (GB) |
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Images size will be added when curation is complete (Add any additional information as needed below. Likely would be something from site.here) |
Localtab |
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title | Citations & Data Usage Policy |
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| Add any special restrictions in here. These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work: Info |
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| Jaggi, A., Mattonen, S. A. , McNitt-Gray, M., & Napel, S. (2020). Data from the Stanford DRO Toolkit: Digital Reference Objects for Standrdization of Radiomic Features [Data set]. The Cancer Imaging Archive. https://doi.org/(DOI goes here). |
Info |
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title | Acknowledgement | Publication Citation |
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| JaggiM McNitt-Gray, S Napel, A Jaggi., SA Mattonen, L Hadjiiski, M Muzi, D Goldgof, Y Balagurunathan, LA Pierce , PE Kinahan, EF Jones, A Nguyen, A Virkud, H-P Chan, N Emaminejad, M Wahi-Anwar, M Daly, M Abdalah, H Yang, L Lu, W Lv, A Rahmim, A Gastounioti, S Pati, S Bakas, D Kontos, B Zhao, J Kalpathy-Cramer, K Farahani. Standardization in Quantitative Imaging: A Multi-center Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Datasets. Accepted for publication, Tomography, Feb. 2020.Akshay Jaggi, Sarah A. Mattonen, Michael McNitt-Gray, Sandy NapelS., McNitt-Gray, M., Napel, S (2020). Stanford DRO Toolkit: Digital Reference Objects for Standardization of Radiomic Features. Accepted for publication pending minor revisions, Tomography, Feb. 2020 |
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. DOI: 10.1007/s10278-013-9622-7 |
TCIA 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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| Data Type | Download all or Query/Filter |
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Images (DICOM, xx.x GB) | | Clinical Data (CSVImages (NIfTI, zip) | Link | Other Supplemental ( formatjson, zip) | Image Removed
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Added new subjects.
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