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title | Data Access |
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| Data AccessClick the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retrieverthe data.
Data Type | Download all or Query/Filter |
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Images (DICOM) | | Segmentations (NIFTI) | | License |
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Tumor Segmentations (NIfTI, ZIP, 834 KB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/24284406/segmentations.zip?api=v2 |
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| | Image Features and Patient Survival (CSV, 107 KB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/24284406/FeaturesWithLabels%20%281%29.csv?api=v2 |
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| | Features with labels (CSV) | Image Removed |
Please contact help@cancerimagingarchive.net with any questions regarding usage.
Collections Used in this Third Party Analysis
Below is a list of the Collections used in these analyses: Data Type | Download all or Query/Filter |
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Original Source Images (DICOM, 1.54 GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/24284406/LongShortSurvivalAdenocarcinoma-doiJNLP-qOFdxYUi.tcia?api=v2 |
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(Download requires the NBIA Data Retriever) |
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title | Detailed Description |
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| Detailed DescriptionImage data is available in DICOM format. Segmentation data is available in .nii format. Labels are available in .csv format. The first column is subject identification. The second column is survival class. Subsequent columns are computed image features which are described in the following publications. |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy 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: Tcia limited license policy |
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Info |
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title | Dataset Data Citation |
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| Goldgof D., Hall L., Hawkins S.H., Schabath M.B., Stringfield O., Garcia A., Balagurunathan Y., Kim J., Eschrich S., Berglund A.E., Gatenby R., Gillies R.J. (2017) Long and Short Survival in Adenocarcinoma Lung CTs. The Cancer Imaging Archive. http https://doi.org/10.7937/K9/TCIA.2017.0tv7b9x1 |
Info |
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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. 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. https://doi.org/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 |
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title | Publication Citation |
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| Paul, R., Hawkins, S.H., Balagurunathan, Y., Schabath, M.B., Gillies, R.J. , Hall, L.O. , & Goldgof, D. B(2016). . "Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival Among among Patients with Lung Adenocarcinoma. " Tomography: a journal for imaging research 2, no. 4 (2016): 388. DOI:, 2(4), 388–395. https://doi.org/10.18383/j.tom.2016.00211 |
Info |
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title | Publication Citation |
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| Hawkins, S. H., Korecki, J. N., Balagurunathan, Y., Yuhua Gu Y., Kumar, V., Basu, S., Hall, L. O., Goldgof, D. B., Gatenby, R. A., & Gillies, R. J. (2014). " Predicting Outcomes of Nonsmall Cell Lung Cancer using Using CT Image Features. " IEEE Access 2 (2014): 1418-1426. DOI: , 2, 1418–1426. https://doi.org/10.1109/ACCESSaccess.2014.2373335 |
Info |
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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. 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. https://doi.org/10.1007/s10278-013-9622-7 |
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 |
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| Version 1 (Current): 20192017/0708/11 Data Type | Download all or Query/Filter |
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Images (DICOM) | | Tumor Segmentations (NIFTI) | | Image Features with labels and Patient Survival (CSV) | |
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