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The Computed tomography (CT) Image data was obtained on patients diagnosed with Non-Small Cell Lung Cancer (NSCLC) with mixed stage & histology from the H. Lee Moffitt Cancer Center and Research Institute. Scans were obtained from patients who underwent surgical resection and had corresponding pre-surgery diagnostic CTs. The scans were de-identified following HIPPA guidelines to protect patient privacy. The data was shared with the QIN collaborators for research purpose complying with collaborative data sharing policy of the H. Lee Moffitt Total Cancer Care (TCC) .

This collection of CT data contains 10 subjects from made available for the QIN Lung CT Segmentation Challenge. If your use of this collection results in a publication, we would appreciate if you cite the appropriate references and acknowledge the award that supported collection and sharing of these data sets.  Please see the published paper for details of the challenge.


  1. Goldgof.D, Cramer J, Hawkins S,  Napel S, Gu Y, Hall L, Gillies R, Feature Stability across segmentation difference.., (in preparation).
  2. Dataset DOI:

About the NCI QIN

The mission of the QIN is to improve the role of quantitative imaging for clinical decision making in oncology by developing and validating data acquisition, analysis methods, and tools to tailor treatment for individual patients and predict or monitor the response to drug or radiation therapy. More information is available on the Quantitative Imaging Network Collections page. Interested investigators can apply to the QIN at: Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01) PAR-11-150.



Localtab Group
titleData Access

Data Access

Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search By Collection option.

Data TypeDownload all or Query/Filter
Images (DICOM, 0.97GB) 
Clinical data(See Detailed Description tab)

Click the Versions tab for more info about data releases.

titleDetailed Description

Detailed Description

Collection Statistics

Updated 12/17/2014



Number of Patients


Number of Studies


Number of Series


Number of Images


Image Size (GB) 



Access to this collection's clinical data is restricted due to the type of information included and/or the informed consent procedure under which the data were collected. If you  believe this data will be useful for a current or planned research project, you may request access to this clinical data by completing the attached Data Use Agreement and forwarding it via e-mail to the TCIA help desk ( The Data Use Agreement will be promptly reviewed by a TCIA review committee and you will be informed of their decision. In most cases access will be granted and members of your research team will be granted access to the clinical data. Note: you must have TCIA login credentials in order to access any restricted collection.
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to

Please be sure to include the following citations in your work if you use this data set:

titleQIN LUNG CT Citation

The Cancer Imaging Archive Team. Data From QIN LUNG CT. doi:10.7937/K9/TCIA.2015.NPGZYZBZ

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. (paper)

Other Publications Using This Data

    1. Goldgof.D, Cramer J, Hawkins S,  Napel S, Gu Y, Hall L, Gillies R, Feature Stability across segmentation difference.., (in preparation).

TCIA maintains a list of publications which leverage our data. At this time we are not aware of any additional publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk.


Version 1 (Current): Updated 2014/12/17

Data TypeDownload all or Query/Filter
Images (DICOM, 0.97GB)