Data Access
Data Type | Download | License |
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Segmentations (378 series, DICOM) | | | CT Images & Segmentations Combined (409 series, DICOM) | (Requires NBIA Data Retriever) | | Lung Phantom Nodule Locations Documentation (xls) | | | QIN LUNG CT Nodule Locations Documentation (xls) | | | RIDER Lung CT Nodule Locations Documentation (xls) | | | LIDC-IDRI Nodule Locations Documentation (xls) | | |
Collections Used in this Third Party AnalysisBelow is a list of the Collections used in these analyses:
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Citations & Data Usage Policy Kalpathy-Cramer, J., Napel, S., Goldgof, D., & Zhao, B. (2015). Multi-site collection of Lung CT data with Nodule Segmentations (version 3) [Data set]. The Cancer Imaging Archive. DOI: https://doi.org/10.7937/k9/tcia.2015.1buvfjr7 |
Kalpathy-Cramer, J., Zhao, B., Goldgof, D., Gu, Y., Wang, X., Yang, H., Tan, Y., Gillies, R., & Napel, S. (2016). A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study. In Journal of Digital Imaging (Vol. 29, Issue 4, pp. 476–487). https://doi.org/10.1007/s10278-016-9859-z |
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 that leverage our data. If you have a manuscript you'd like to add please contact TCIA's Helpdesk. |
Version 3 (Current): 2018/12/18
Data Type | Download all or Query/Filter |
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CT Images - 31 series (DICOM) | | Segmentations - 378 series (DICOM) | | CT Images & Segmentations Combined - 409 series (DICOM) | |
Note: In December 2018 it was discovered that an update to NSCLC Radiogenomics mistakenly resulted in the deletion of the segmentation data for this analysis set. As a result, version 3 excludes the Stanford NSCLC Radiogenomics subset of the analyses. Version 2: 2015/12/21On 9/14/2015 this DOI was updated to resolve problems with 9 of the segmentations being incorrectly labeled. The Series Instance UIDs in the original data set which have since been deleted from TCIA are: 1.2.276.0.7230010.3.1.3.0.34323.1424694723.968333 1.2.276.0.7230010.3.1.3.0.34343.1424694769.748096 1.2.276.0.7230010.3.1.3.0.32279.1424660367.640148 1.2.276.0.7230010.3.1.3.0.3373.1415292738.832393 1.2.276.0.7230010.3.1.3.0.32259.1424660332.352116 1.2.276.0.7230010.3.1.3.0.32238.1424660298.604243 1.2.276.0.7230010.3.1.3.0.3306.1415292638.342990 1.2.276.0.7230010.3.1.3.0.3345.1415292685.22320 1.2.276.0.7230010.3.1.3.0.34303.1424694693.127541 These have been replaced with the following new segmentation series: 1.2.276.0.7230010.3.1.3.0.21757.1437749726.319319 1.2.276.0.7230010.3.1.3.0.21734.1437749686.271681 1.2.276.0.7230010.3.1.3.0.21713.1437749624.694944 1.2.276.0.7230010.3.1.3.0.95052.1441388220.839236 1.2.276.0.7230010.3.1.3.0.95027.1441388189.267094 1.2.276.0.7230010.3.1.3.0.95003.1441388142.544126 1.2.276.0.7230010.3.1.3.0.3233.1437599346.502866 Previous version spreadsheets: - Nodule Location Documentation (spreadsheets)
Version 1: 2015/09/15Original release of dataset. |
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