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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. - Babier, A., Zhang, B., Mahmood, R., Moore, K. L., Purdie, T. G., McNiven, A. L., & Chan, T. C. Y. (2021). OpenKBP: The open‐access knowledge‐based planning grand challenge and dataset. Medical Physics. doi:10.1002/mp.14845
- Dalvit Carvalho da Silva, R. (2022). The Role of Transient Vibration of the Skull on Concussion. (Ph. D. ). University of Western Ontario, Retrieved from https://ir.lib.uwo.ca/etd/8399
- Dalvit Carvalho da Silva, R., Jenkyn, T. R., & Carranza, V. A. (2021). Development of a Convolutional Neural Network Based Skull Segmentation in MRI Using Standard Tesselation Language Models. Journal of Personalized Medicine, 11(4), 310. doi:https://doi.org/10.3390/jpm11040310
- Dalvit Carvalho da Silva, R., Jenkyn, T. R., & Carranza, V. A. (2021). Development of a Convolutional Neural Network Based Skull Segmentation in MRI Using Standard Tesselation Language Models. J Pers Med, 11(4). doi:10.3390/jpm11040310
- Hou, Y. X., Ren, Z., Tao, Y. B., & Chen, W. (2021). Learning-based parameter prediction for quality control in three-dimensional medical image compression. [基于学习方法的三维医学图像压缩质量控制参数预测]. Frontiers of Information Technology & Electronic Engineering, 22(9), 1169-1178. doi:10.1631/FITEE.2000234
- Huang, C., Cintra, M., Brennan, K., Zhou, M., Colevas, A. D., Fischbein, N., . . . Gevaert, O. (2019). Development and validation of radiomic signatures of head and neck squamous cell carcinoma molecular features and subtypes. EBioMedicine, 45, 70-80. doi:10.1016/j.ebiom.2019.06.034
- Kann, B. H., Hicks, D. F., Payabvash, S., Mahajan, A., Du, J., Gupta, V., . . . Aneja, S. (2020). Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma. J Clin Oncol, 38(12), 1304-1311. doi:10.1200/JCO.19.02031
- Katsoulakis, E., Yu, Y., Apte, A. P., Leeman, J. E., Katabi, N., Morris, L., . . . Oh, J. H. (2020). Radiomic analysis identifies tumor subtypes associated with distinct molecular and microenvironmental factors in head and neck squamous cell carcinoma. Oral Oncology, 110, 104877. doi:https://doi.org/10.1016/j.oraloncology.2020.104877
- Lv, W., Zhou, Z., Peng, J., Peng, L., Lin, G., Wu, H., . . . Lu, L. (2023). Functional-structural Sub-region Graph Convolutional Network (FSGCN): Application to the Prognosis of Head and Neck Cancer with PET/CT imaging. Computer Methods and Programs in Biomedicine. doi:https://doi.org/10.1016/j.cmpb.2023.107341
- Mukherjee, P., Cintra, M., Huang, C., Zhou, M., Zhu, S., Colevas, A. D., . . . Gevaert, O. (2020). CT-based Radiomic Signatures for Predicting Histopathologic Features in Head and Neck Squamous Cell Carcinoma. Radiol Imaging Cancer, 2(3), e190039. doi:https://doi.org/10.1148/rycan.2020190039
- Na, K. J., & Choi, H. (2018). Tumor Metabolic Features Identified by (18)F-FDG PET Correlate with Gene Networks of Immune Cell Microenvironment in Head and Neck Cancer. Journal of Nuclear Medicine, 59(1), 31-37. doi:10.2967/jnumed.117.194217
- Nikolov, S., Blackwell, S., Zverovitch, A., Mendes, R., Livne, M., De Fauw, J., . . . Ronneberger, O. (2021). Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study. J Med Internet Res, 23(7), e26151. doi:10.2196/26151
- Singh, A., Goyal, S., Rao, Y. J., & Loew, M. (2019). A Novel Imaging-Genomic Approach to Predict Outcomes of Radiation Therapy. (MS). George Washington University, https://scholarspace.library.gwu.edu/etd/kh04dq40j
- Thomas, R., Schalck, E., Fourure, D., Bonnefoy, A., & Cervera-Marzal, I. (2021). 2Be3-Net: Combining 2D and 3D Convolutional Neural Networks for 3D PET Scans Predictions. Paper presented at the International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021).
- Vrtovec, T., Močnik, D., Strojan, P., Pernuš, F., & Ibragimov, B. (2020). Auto‐segmentation of organs at risk for head and neck radiotherapy planning: from atlas‐based to deep learning methods. Medical Physics, 47, e929-e950. doi: https://doi.org/10.1002/mp.14320
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
If you have a manuscript you'd like to add please contact TCIA's Helpdesk. |
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| Version 6 (Current): 2023/05/24Data Type | Download all or Query/Filter |
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url | https://wiki.cancerimagingarchive.net/download/attachments/11829589/TCGA-HNSC-08-30-2018-doiJNLP-PMK5AdS1.tcia?version=1&modificationDate=1541017261959&api=v2 |
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label | Search |
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url | https://nbia.cancerimagingarchive.net/nbia-search/?CollectionCriteria=TCGA-HNSC |
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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-HNSC%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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url | https://wiki.cancerimagingarchive.net/download/attachments/11829589/gdc_download_clinical_hnsc.tar.gz?version=1&modificationDate=1590772486422&api=v2 |
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url | https://wiki.cancerimagingarchive.net/download/attachments/11829589/gdc_download_biomedical_hnsc.tar.gz?version=1&modificationDate=1590772470829&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-HNSC |
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Corrected modality for series: 1.3.6.1.4.1.14519.5.2.1.8421.4009.196228604563469888269110627731 . Version 5: 2020/05/29Data Type | Download all or Query/Filter |
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Images and Radiation Therapy Structures (DICOM, 130GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/11829589/TCGA-HNSC-08-30-2018-doiJNLP-PMK5AdS1.tcia?version=1&modificationDate=1541017261959&api=v2 |
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(Download requires the NBIA Data Retriever) | Tissue Slide Images (web) |
Tcia button generator |
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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-HNSC%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/11829589/gdc_download_clinical_hnsc.tar.gz?version=1&modificationDate=1590772486422&api=v2 |
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| Biomedical Data (TXT) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/11829589/gdc_download_biomedical_hnsc.tar.gz?version=1&modificationDate=1590772470829&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-HNSC |
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Updated clinical data link with latest spreadsheets from GDC. Added new biomedical spreadsheets from GDC. Version 4: Updated 2018/08/30Data Type | Download all or Query/Filter |
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Images (DICOM, 130GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/11829589/TCGA-HNSC-08-30-2018-doiJNLP-PMK5AdS1.tcia?version=1&modificationDate=1541017261959&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/11829589/TCGA-HNSC%20Clinical%20Data%2008-30-18.zip?version=1&modificationDate=1535718756268&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-HNSC |
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Added new DICOM images. Version 3: Updated 2017/03/30Data Type | Download all or Query/Filter |
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Images (DICOM, 108GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/11829589/TCGA-HNSC-v3-doiJNLP.tcia?version=1&modificationDate=1534786983237&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/11829589/TCGA-HNSC%20Clinical%20Data%201516.zip?version=1&modificationDate=1452101750759&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-HNSC |
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Added new DICOM images. Version 2: Updated 2016/01/05Data Type | Download all or Query/Filter |
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Images (DICOM, 88.1GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/11829589/TCIA_TCGA-HNSC-09-16-2015.tcia?version=1&modificationDate=1534787425505&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/11829589/TCGA-HNSC%20Clinical%20Data%201516.zip?version=1&modificationDate=1452101750759&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-HNSC |
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Extracted latest release of clinical data (TXT) from the GDC Data Portal. Version 1: Updated 2014/11/26Data Type | Download all or Query/Filter |
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Images (DICOM, 88.1GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/11829589/TCIA_TCGA-HNSC-09-16-2015.tcia?version=1&modificationDate=1534787425505&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/11829589/TCGA-HNSC%20Clinical%20Data.zip?version=1&modificationDate=1415210184908&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-HNSC |
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