Collection SPIE-AAPM Lung CT Challenge
Details
Subject Count: 70
Primary Site: Lung
Image Modalities: CT, SEG
Cancer Type(s): Lung Cancer
Species: Human
Supporting Data: Clinical, Image Analyses
DOIs
SPIE-AAPM Lung CT Challenge original data:
Analysis Results:
- BAMF-AIMI-Annotations
10.5281/zenodo.8345959
Description
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) – conducted a “Grand Challenge” on quantitative image analysis methods for the diagnostic classification of malignant and benign lung nodules. The LUNGx Challenge provided 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.
Please see the SPIE-AAPM Lung CT Challenge page to learn more about the images and to obtain any supporting metadata for this collection.