- Created by Justin Kirby, last modified by Carolyn Klinger on Nov 21, 2018
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Summary
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, the related SPIE Guest Editorial, and corresponding scientific manuscript.
Data Access
Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.
Data Type | Download all or Query/Filter |
---|---|
Images (DICOM, 12.1GB) | |
Nodule Locations/Diagnoses - Calibration Set (XLS) | |
Nodule Locations/Diagnoses - Test Set (XLS) |
Click the Versions tab for more info about data releases.
Detailed Description
Collection Statistics |
|
---|---|
Modalities | CT |
Number of Patients | 70 |
Number of Studies | 70 |
Number of Series | 70 |
Number of Images | 22,489 |
Images Size (GB) | 12.1 |
For more information please refer to: LUNGx SPIE-AAPM-NCI Lung Nodule Classification Challenge, the related SPIE Guest Editorial, and the follow up scientific manuscript.
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
- CalibrationSet_NoduleData.xlsx - Nodule locations and diagnoses
- TestSet_NoduleData.xlsx - Nodule locations; diagnoses to be added after manuscript publication
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 help@cancerimagingarchive.net.
Please be sure to include the following citations in your work if you use this data set:
Data Citation
Armato III, Samuel G.; Hadjiiski, Lubomir; Tourassi, Georgia D.; Drukker, Karen; Giger, Maryellen L.; Li, Feng; Redmond, George; Farahani, Keyvan; Kirby, Justin S.; Clarke, Laurence P. (2015). SPIE-AAPM-NCI Lung Nodule Classification Challenge Dataset. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2015.UZLSU3FL
Publication Citation
Armato, S. G., III, Hadjiiski, L., Tourassi, G. D., Drukker, K., Giger, M. L., Li, F., … Clarke, L. P. (2015, June 25). Guest Editorial: LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned. Journal of Medical Imaging. SPIE-Intl Soc Optical Eng. http://doi.org/10.1117/1.jmi.2.2.020103 (paper)
Publication Citation
Samuel G. Armato, Karen Drukker, Feng Li, Lubomir Hadjiiski, Georgia D. Tourassi, Roger M. Engelmann, Maryellen L. Giger, George Redmond, Keyvan Farahani, Justin S. Kirby, Laurence P. Clarke, "LUNGx Challenge for computerized lung nodule classification," J. Med. Imag. 3(4), 044506 (2016), doi: 10.1117/1.JMI.3.4.044506.
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. If you have a publication you'd like to add please contact the TCIA Helpdesk.
Version 2 (Current): Updated 2016/09/23
Data Type | Download all or Query/Filter |
---|---|
Images (DICOM, 12.1GB) | (Requires TCIA Downloader App) |
Nodule Locations/Diagnoses - Calibration Set (XLS) | |
Nodule Locations/Diagnoses - Test Set (XLS) |
Added diagnosis data to test set XLS.
Version 1: Updated 2014/11/21
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