Localtab |
---|
active | true |
---|
title | Data Access |
---|
| Data AccessClick the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Data Type | Download all or Query/Filter | License |
---|
Gross Tumor Volume Segmentation - (DICOM RTSTRUCT and SEG, 912 MB) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/46334165/RIDER%20Lung%20CT%20RTSTRUCTS%20DICOM%20SEGS%20Leonard%20Wee%20Feb%2010%202020.tcia?api=v2 |
---|
|
|
(Requires NBIA Data Retriever.) | |
Collections Used in this Third Party AnalysisBelow is a list of the Collections used in these analyses: Source Data Type | Download all or Query/Filter | License |
---|
Image Removed |
---|
Corresponding Original CT Images from RIDER Lung CT - (DICOM, 7 GB) |
| Click the Versions tab for more info about data releases. |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/46334165/RIDER%20Lung%20CT%20Original%20Scans%20for%20Leonard%20Wee%20Feb%2010%202020%20.tcia?api=v2 |
---|
|
|
(Requires NBIA Data Retriever.) | |
|
Localtab |
---|
title | Detailed Description |
---|
| Detailed DescriptionImage Statistics |
|
---|
Modalities (DICOM) | RTSTRUCT, SEG | Number of Patients | 31 | Number of Studies | 31 | Number of Series | 118 | Number of Images | 118 | Images Size (GB) | 912 MB |
(RIDER-2283289298) only has segmentations associated with the retest. (RIDER-5195703382) only has segmentations associated with the test. (RIDER-8509201188) only has segmentations associated with the test. (RIDER-9762593735) not included in the data set due to missing delineations.
|
Localtab |
---|
title | Citations & Data Usage Policy |
---|
| Citations & Data Usage Policy This analysis set may not be used for commercial purposes. It is available to browse, download, as outlined in the Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) https://creativecommons.org/licenses/by-nc/3.0/. See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net. Tcia limited license policy |
---|
Info |
---|
| Leonard Wee, Hugo L., Aerts, Petros Kalendralis and Andre Dekker. (2018) H., Kalendralis, P., & Dekker, A. (2020). RIDER Lung CT Segmentation Labels from: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/tcia.2020.jit9grk8 |
Info |
---|
| 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 (2013). 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. (paper)), 1045–1057. https://doi.org/10.1007/s10278-013-9622-7 |
Info |
---|
title | Publication Citation |
---|
| Aerts, H. J. W. L., Velazquez, E. R., Leijenaar, R. T. H., Parmar, C., Grossmann, P., CavalhoCarvalho, S., … , Bussink, J., Monshouwer, R., Haibe-Kains, B., Rietveld, D., Hoebers, F., Rietbergen, M. M., Leemans, C. R., Dekker, A., Quackenbush, J., Gillies, R. J., & Lambin, P. (2014, June 3). Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications. Nature Publishing Group. http, 5(1). https://doi.org/10.1038/ncomms5006 |
Questions may be directed to help@cancerimagingarchive.net. Other Publications Using This DataTCIA maintains a list of publications that leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
Localtab |
---|
| Version 1 (Current)2 (Current): Updated 2021/10/28Data Type | Download all or Query/Filter |
---|
Gross Tumor Volume Segmentation - (DICOM RTSTRUCT and SEG, 912 MB) | | Corresponding Original CT Images from RIDER Lung CT - (DICOM, 7 GB) | |
The authors of this dataset agreed to change the license to permit commercial use. The actual dataset remains unchanged. Version 1: Updated 2020/02/13Data Type | Download all or Query/Filter |
---|
Gross Tumor Volume Segmentation - (DICOM RTSTRUCT and SEG, 912 MB) | | Corresponding Original CT Images from RIDER Lung CT - (DICOM, 7 GB) | |
|
|