Summary
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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. |
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Imaging Data
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You can view and download these images on The Cancer Imaging Archive by clicking and selecting the SPIE-AAPM Lung CT Challenge collection. |
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.
Collection Statistics | (updated 11/21/2014) |
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Modalities | CT |
Number of Patients | 70 |
Number of Studies | 70 |
Number of Series | 70 |
Number of Images | 22,489 |
Images Size (GB) | 12.1 |
If you are unsure how to download this Collection please view our quick guide on Searching by Collection or refer to our The Cancer Imaging Archive User's Guide for more detailed instructions on using the site.
Shared Lists
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