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As part of the 2015 SPIE Medical Imaging Conference, SPIE – with the support of American Association of Physicists in Medicine (AAPM) and the National Cancer Institute (NCI) – will conduct a “Grand Challenge” on quantitative image analysis methods for the diagnostic classification of malignant and benign lung nodules. The LUNGx Challenge will provide a unique opportunity for participants to compare their algorithms to those of others from academia, industry, and government in a structured, direct way using the same data sets.


  • Release date of calibration set cases with truth:  November 21, 2014
  • Release date of test set cases without truth:  January 9, 2015
  • Submission date for participants to submit test set classification results:  February 6, 2015
  • SPIE Medical Imaging meeting:  February 21 to 26, 2015

 For more information please refer to: LUNGx SPIE-AAPM-NCI Lung Nodule Classification Challenge and the related SPIE Guest Editorial.

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, 12.1GB) 
Nodule Locations/Diagnoses - Calibration Set (XLS)
Nodule Locations - Test Set (XLS)

Click the Versions tab for more info about data releases.

Detailed Description

Collection Statistics




Number of Patients


Number of Studies


Number of Series


Number of Images


Images Size (GB)12.1

Counts below reflect both the training set (10 subjects) and test set (60 subjects). The Patient IDs of the 10-subject training set begin CT-Training. The Patient IDs of the 60-subject test set begin LUNGx.

Nodule locations and diagnoses

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:

SPIE-AAPM Lung CT Challenge Citation

The Cancer Imaging Archive Team. Data From SPIE-AAPM Lung CT Challenge. doi:10.7937/K9/TCIA.2015.M6VRPNYL

Publication Citation

Samuel G. Armato, III ; Lubomir Hadjiiski ; Georgia D. Tourassi ; Karen Drukker ; Maryellen L. Giger ; Feng Li ; George Redmond ; Keyvan Farahani ; Justin S. Kirby ; Laurence P. Clarke. Guest Editorial: LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned. J. Med. Imag. 2(2), 020103 (Jun 25, 2015).   doi:10.1117/1.JMI.2.2.020103 (paper) 

TCIA 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

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

Version 1 (Current): Updated 2014/11/21

Data TypeDownload all or Query/Filter
Images (DICOM, 12.1GB) 
Nodule Locations/Diagnoses - Calibration Set (XLS)
Nodule Locations - Test Set (XLS)


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