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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.

Data TypeDownload all or Query/Filter
Images (DICOM, XX.X GB)

Click the Versions tab for more info about data releases.

Please contact help@cancerimagingarchive.net  with any questions regarding usage.


Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities


Number of Patients


Number of Studies


Number of Series


Number of Images


Images Size (GB)



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Add any special restrictions in here.

These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:

Info
titleData Citation

McNitt-Gray, M., Napel, S., Jaggi, A., Mattonen, S.A., Hadjiiski, L., Muzi, M., Goldgof, D., Balagurunathan, Y., Pierce, L.A., Kinahan, P.E., Jones, E.F., Nguyen, A., Virkud, A., Chan, H-P., Emaminejad, N., Wahi-Anwar, M., Daly, M., Abdalah, M., Yang, H., Lu, L., Lv, W., Rahmim, A., Gastounioti, A., Pati, S., Bakas, S., Kontos, D., Zhao, B., Kalpathy-Cramer, J., Farahani, K. (2020). Standardization in Quantitative Imaging: A Multi-center Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Datasets. accepted for publication, Tomography, Feb, 2020.


Info
titlePublication Citation

Kalpathy-Cramer, J., Zhao, B., Goldgof, D., Gu, Y., Wang, X., Yang, H., … Napel, S. (2016). A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study. Journal of Digital Imaging. Springer Nature. http://doi.org/10.1007/s10278-016-9859-z


Info
titleTCIA Citation

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 Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7


Info
titleGrant Citations
  • David Geffen School of Medicine at UCLA - U01CA181156
  • Stanford University School of Medicine – U01CA187947 and U24CA180927
  • University of Michigan - U01CA232931
  • University of Washington – R50CA211270, U01CA148131
  • University of South Florida - U24CA180927, U01CA200464
  • Moffitt Cancer Center – U01CA143062, U01CA200464, P30CA076292
  • UC San Francisco - U01CA225427
  • BC Cancer Research Centre - NSERC Discovery Grant: RGPIN-2019-06467
  • Columbia University- U01CA225431
  • Center for Biomedical Image Computing and Analytics at the University of Pennsylvania - U24CA189523, R01NS042645
  • Massachusetts General Hospital- U01CA154601, U24CA180927


In addition to the dataset citation above, please be sure to cite the following if you utilize these data in your research:

Info
titleAnalysis Citation

Jayashree Kalpathy-Cramer, Sandy Napel, Dmitry Goldgof, Binsheng Zhao. (2015). Multi-site collection of Lung CT data with Nodule Segmentations. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2015.1BUVFJR7

Other Publications Using This Data

TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.


Localtab
titleVersions

Version 1 (Current): Updated 2020/03/XX

Data TypeDownload all or Query/Filter
Images (DICOM, xx.x GB)

(Requires NBIA Data Retriever.)

Segmentations (NIfTI, XX.X GB)




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