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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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| Zuley, M. L., Jarosz, R., Drake, B. F., Rancilio, D., Klim, A., Rieger-Christ, K., & Lemmerman, J. (2016). The Cancer Genome Atlas Prostate Adenocarcinoma Collection (TCGA-PRAD) (Version 4) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2016.YXOGLM4Y |
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| "The results <published or shown> here are in whole or part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/." |
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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. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA maintains a list of publications which leverage our data. If you have a manuscript you'd like to add please contact TCIA's Helpdesk. - Du, R., & Vardhanabhuti, V. (2020, 06-08 July 2020). 3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks. Paper presented at the Third Conference on Medical Imaging with Deep Learning (MIDL 2020), Montréal, QC, Canada.
- Fischer, S., Tahoun, M., Klaan, B., Thierfelder, K. M., Weber, M.-A., Krause, B. J., . . . Hamed, M. (2019). A Radiogenomic Approach for Decoding Molecular Mechanisms Underlying Tumor Progression in Prostate Cancer. Cancers (Basel), 11(9). doi:10.3390/cancers11091293
- Kopchick, B. (2020). A Study on the Geometrical Limits and Modern Approaches to External Beam Radiotherapy. (Ph. D. Dissertation). The George Washington University, (28025054)
- Otalora, S., Marini, N., Muller, H., & Atzori, M. (2021). Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification. BMC Med Imaging, 21(1), 77. doi:10.1186/s12880-021-00609-0
- Solorzano-Requejo, W., Ojeda, C., & Diaz Lantada, A. (2022). Innovative Design Methodology for Patient-Specific Short Femoral Stems. Materials (Basel), 15(2). doi:10.3390/ma15020442
- Wong, J., Fong, A., McVicar, N., Smith, S., Giambattista, J., Wells, D., . . . Alexander, A. (2019). Comparing deep learning-based auto-segmentation of organs at risk and clinical target volumes to expert inter-observer variability in radiotherapy planning. Radiother Oncol, 144, 152-158. doi:10.1016/j.radonc.2019.10.019
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| Version 4 (Current): Updated 2020/05/29Data Type | Download all or Query/Filter |
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Images (DICOM, 3.74GB) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/6884022/doiJNLP-Pz8ET39p.tcia?version=1&modificationDate=1534786968587&api=v2 |
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label | Search |
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url | https://nbia.cancerimagingarchive.net/nbia-search/?CollectionCriteria=TCGA-PRAD |
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(Download requires the NBIA Data Retriever) | Tissue Slide Images (web) |
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label | Search |
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url | https://portal.gdc.cancer.gov/image-viewer?filters=%7B%22op%22%3A%22and%22%2C%22content%22%3A%5B%7B%22content%22%3A%7B%22field%22%3A%22cases.case_id%22%2C%22value%22%3A%5B%22set_id%3AYEEmK4gB-Ny-1EyOwW07%22%5D%7D%2C%22op%22%3A%22IN%22%7D%2C%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22cases.project.project_id%22%2C%22value%22%3A%5B%22TCGA-PRAD%22%5D%7D%7D%2C%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22files.data_type%22%2C%22value%22%3A%5B%22Slide%20Image%22%5D%7D%7D%5D%7D |
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| Clinical Data (TXT) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/6884022/gdc_download_clinical_prad.tar.gz?version=1&modificationDate=1590774478756&api=v2 |
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| Biomedical Data (TXT) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/6884022/gdc_download_biomedical_prad.tar.gz?version=1&modificationDate=1590774467410&api=v2 |
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| Genomics (web) |
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label | Search |
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url | https://portal.gdc.cancer.gov/projects/TCGA-PRAD |
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Updated clinical data link with latest spreadsheets from GDC. Added new biomedical spreadsheets from GDC. Version 3: Updated 2016/09/06Data Type | Download all or Query/Filter |
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Images (DICOM, 3.74GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/6884022/doiJNLP-Pz8ET39p.tcia?version=1&modificationDate=1534786968587&api=v2 |
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(Download requires the NBIA Data Retriever) | Clinical Data (TXT) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/6884022/TCGA-PRAD%20Clinical%20Data%20090616.zip?version=2&modificationDate=1473183117629&api=v2 |
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| Genomics (web) |
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label | Search |
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url | https://portal.gdc.cancer.gov/projects/TCGA-PRAD |
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New Images added. Version 2: Updated 2016/01/05Data Type | Download all or Query/Filter |
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Images (DICOM, 1.75GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/6884022/TCIA_TCGA-PRAD_09-16-2015.tcia?version=1&modificationDate=1534786969284&api=v2 |
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(Download requires the NBIA Data Retriever) | Clinical Data (TXT) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/6884022/TCGA-PRAD%20Clinical%20Data%201516.zip?version=1&modificationDate=1452105966810&api=v2 |
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| Genomics (web) |
Tcia button generator |
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label | Search |
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url | https://portal.gdc.cancer.gov/projects/TCGA-PRAD |
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Extracted latest release of clinical data (TXT) from the GDC Data Portal. Version 1: Updated 2015/06/30Data Type | Download all or Query/Filter |
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Images (DICOM, 1.75GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/6884022/TCIA_TCGA-PRAD_09-16-2015.tcia?version=1&modificationDate=1534786969284&api=v2 |
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(Download requires the NBIA Data Retriever) | Clinical Data (TXT) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/6884022/TCGA-PRAD%20Clinical%20Data.zip?version=1&modificationDate=1415389310667&api=v2 |
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| Genomics (web) |
Tcia button generator |
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label | Search |
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url | https://portal.gdc.cancer.gov/projects/TCGA-PRAD |
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