{"collection_id":"spie_aapm_lung_ct_challenge","collection_name":"SPIE-AAPM Lung CT Challenge","cancer_types":"Lung Cancer","tumor_locations":"Lung","species":"Human","subjects":70,"supporting_data":"Clinical, Image Analyses","description":"As part of the 2015 SPIE Medical Imaging Conference, SPIE – with the support of American\nAssociation of Physicists in Medicine (AAPM) and the National Cancer Institute (NCI) – conducted a\n“Grand Challenge” on quantitative image analysis methods for the diagnostic classification of\nmalignant and benign lung nodules. The LUNGx Challenge provided a unique opportunity for\nparticipants to compare their algorithms to those of others from academia, industry, and government\nin a structured, direct way using the same data sets.\nPlease see the SPIE-AAPM Lung CT Challenge (https://doi.org/10.7937/K9/TCIA.2015.UZLSU3FL) page to\nlearn more about the images and to obtain any supporting metadata for this collection.","patients":70,"studies":70,"series":146,"instances":22565,"size_TB":0.013,"modalities":["CT","SEG"],"licenses":[{"license_short_name":"CC BY 4.0","series":76,"size_TB":0.001},{"license_short_name":"CC BY 3.0","series":70,"size_TB":0.012}]}