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.
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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.
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 firstname.lastname@example.org.
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
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
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