Localtab |
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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 | License |
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Images (DICOM, 7.55GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/22512732/doiJNLP-hmwM5YWB.tcia?version=1&modificationDate=1534787016514&api=v2 |
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Tcia button generator |
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label | Search |
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url | https://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=RIDER%20Lung%20CT |
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(Download requires the NBIA Data Retriever) | | DICOM Metadata Digest (CSV, 31 kB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/22512732/RIDERLungCT_MetaData.csv?version=1&modificationDate=1495728666496&api=v2 |
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| | Lesion Notes (XLS, ) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/3997712/MSKCC%20RepeatCT%20Lesion%20notes%20for%20RIDER.xls?version=1&modificationDate=1322248398514&api=v2 |
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Click the Versions tab for more info about data releases.
Nci_crdc additional resources |
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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: |
Localtab |
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title | Detailed Description |
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| Detailed Description
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Modalities | CT | Number of Participants | 32 | Number of Studies | 46 | Number of Series | 63 | Number of Images | 15,419 | Image Size (GB) | 7.55 |
Please contact TCIA's Helpdesk with any questions regarding usage.
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Localtab |
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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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Info |
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| Zhao, B., Schwartz, L. H., & Kris, M. G. (2015). Data From RIDER Lung CT (Version 2) [Data set]. The Cancer Imaging Archive. DOI: 10.7937/k9/tcia.2015.u1x8a5nr |
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title | Publication Citation |
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| Zhao, B., James, L. P., Moskowitz, C. S., Guo, P., Ginsberg, M. S., Lefkowitz, R. A., Qin, Y., Riely, G. J., Kris, M. G., & Schwartz, L. H. (2009). Evaluating Variability in Tumor Measurements from Same-day Repeat CT Scans of Patients with Non–Small Cell Lung Cancer. In Radiology (Vol. 252, Issue 1, pp. 263–272). Radiological Society of North America (RSNA). https://doi.org/10.1148/radiol.2522081593 |
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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 PMCID: PMC3824915 |
Other Publications Using This DataTCIA maintains a list of publications which leverage our data. - Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features. DOI:10.18383/j.tom.2016.00235
- Textural Analysis of Tumour Imaging: A Radiomics Approach. https://lib.ugent.be/catalog/rug01:002367219
If you have a manuscript you'd like to add please contact TCIA's Helpdesk. |
Localtab |
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| Version 2 (Current): Updated 2014/11/14
Data Type | Download all or Query/Filter |
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Images (DICOM, 7.55GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/22512732/doiJNLP-hmwM5YWB.tcia?version=1&modificationDate=1534787016514&api=v2 |
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Tcia button generator |
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label | Search |
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url | https://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=RIDER%20Lung%20CT |
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(Download requires the NBIA Data Retriever) | DICOM Metadata Digest (CSV) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/22512732/RIDERLungCT_MetaData.csv?version=1&modificationDate=1495728666496&api=v2 |
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It was brought to our attention that the RIDER-8509201188 patient contained 2 identical image series rather than the correct secondary/repeat series. The duplicate series has been removed (UID: 1.3.6.1.4.1.9328.50.1.64033480205396366773922006817138551096), but we are unable to obtain the correct series at this point. Version 1: Updated 2012/10/18Initial upload of data set. |
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