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title | Data Access |
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| Data Access 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, 2.5GB) | | DICOM Metadata Digest (CSV) | | Representative Tumor Slices (XLS) | | Clinical Data (DOC) | | Click the Versions tab for more info about data releases. Third Party Analyses of this DatasetTCIA encourages the community to publish your analyses of our datasets. Below is a list of such third party analyses published using this Collection: |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net. Please be sure to include the following citations in your work if you use this data set: Public collection license |
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| Grove O, Berglund AE, Schabath MB, Aerts HJWL, Dekker A, Wang H, Velazquez ER, Lambin P, Gu Y, Balagurunathan Y, Eikman E, Gatenby RA, Eschrich S, Gillies RJ. (2015). Data from: Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.A6V7JIWX |
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title | Publication Citation |
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| Grove O, Berglund AE, Schabath MB, Aerts HJWL, Dekker A, Wang H, Velazquez ER, Lambin P, Gu Y, Balagurunathan Y, Eikman E, Gatenby RA, Eschrich S, Gillies RJ. (2015). Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma. (A. Muñoz-Barrutia, Ed.)PLOS ONE. Public Library of Science (PLoS). https://doi.org/10.1371/journal.pone.0118261 |
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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: https://doi.org/10.1007/s10278-013-9622-7 |
Other Publications Using This Data TCIA maintains a list of publications that leverage our data. If you have a publication you'd like to add, please contact the TCIA Helpdesk. |
Localtab |
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| Version 1 (Current): Updated 2014/12/30 Data Type | Download all or Query/Filter |
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Images (DICOM, 2.5GB) | | DICOM Metadata Digest (CSV) | | Representative Tumor Slices (XLS) | | Clinical Data (DOC) | |
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