Citations & Data Usage PolicyAdd 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: In addition to the dataset citation above, please be sure to cite the following if you utilize these data in your research:| 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 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 |
McNitt-Gray, M., Napel, S., A Jaggi, SA Mattonen , L Hadjiiski, M Muzi, D Goldgof, Y Balagurunathan, LA Pierce , PE Kinahan, EF Jones, A Nguyen, A Virkud, H-P Chan, N Emaminejad, M Wahi-Anwar, M Daly, M Abdalah, H Yang, L Lu, W Lv, A Rahmim, A Gastounioti, S Pati, S Bakas, D Kontos, B Zhao, J Kalpathy-Cramer, K Farahani. 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 |
|---|
| title | Publication 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 |
|---|
| 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 |
In addition to the dataset citation above, please be sure to cite the following if you utilize these data in your research: | Info |
|---|
| 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 |
| Info |
|---|
| title | Acknowledgements | Grant 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
M McNitt-Gray, S Napel, A Jaggi, SA Mattonen , L Hadjiiski, M Muzi, D Goldgof, Y Balagurunathan, LA Pierce , PE Kinahan, EF Jones, A Nguyen, A Virkud, H-P Chan, N Emaminejad, M Wahi-Anwar, M Daly, M Abdalah, H Yang, L Lu, W Lv, A Rahmim, A Gastounioti, S Pati, S Bakas, D Kontos, B Zhao, J Kalpathy-Cramer, K Farahani. 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.
|
Other Publications Using This DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |