Summary
- 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
Data Type | Download all or Query/Filter | License |
---|---|---|
Images (DICOM, 12.1GB) |
(Download requires the NBIA Data Retriever) | |
Nodule Locations/Diagnoses - Calibration Set (XLS, ) | ||
Nodule Locations/Diagnoses - Test Set (XLS, 55 kB) |
Click the Versions tab for more info about data releases.
Additional Resources for this Dataset
The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.
- Imaging Data Commons (IDC) (Imaging Data)
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
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
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. https://doi.org/10.7937/K9/TCIA.2015.UZLSU3FL
Publication Citation
Armato III SG, Hadjiiski LM, Tourassi GD, Drukker K, Giger ML, Li F, Redmond G, Farahani K, Kirby JS, Clarke LP. (2015). Guest Editorial: LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned. Journal of Medical Imaging. SPIE-Intl Soc Optical Eng. DOI: 10.1117/1.jmi.2.2.020103
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. (2016) "LUNGx Challenge for computerized lung nodule classification," J. Med. Imag. 3(4), 044506. 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. (2013) The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7
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 TCIA's Helpdesk.
Version 2 (Current): Updated 2016/09/23
Data Type | Download all or Query/Filter |
---|---|
Images (DICOM, 12.1GB) | (Download requires the NBIA Data Retriever) |
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
Data Type | Download all or Query/Filter |
---|---|
Images (DICOM, 12.1GB) | (Download requires the NBIA Data Retriever) |
Nodule Locations/Diagnoses - Calibration Set (XLS) | |
Nodule Locations - Test Set (XLS) |