{"collection_id":"prostatex","collection_name":"PROSTATEx","cancer_types":"Prostate Cancer, Non-Cancer","tumor_locations":"Prostate","species":"Human","subjects":346,"supporting_data":"Image Analyses","description":"SPIE, along with the support of the American Association of Physicists in Medicine (AAPM) and the\nNational Cancer Institute (NCI), will conduct a “Grand Challenge” on quantitative image analysis\nmethods for the diagnostic classification of clinically significant prostate lesions. As part of the\n2017 SPIE Medical Imaging Symposium, the PROSTATEx Challenge will provide a unique opportunity for\nparticipants to compare their algorithms with those of others from academia, industry, and\ngovernment in a structured, direct way using the same data sets. For more details, go to\nhttps://www.spie.org/search?&term=PROSTATEx (https://www.spie.org/search?&term=PROSTATEx).\nPlease see the PROSTATEx (https://doi.org/10.7937/K9TCIA.2017.MURS5CL) page to learn more about\nthe images and to obtain any supporting metadata for this collection.","patients":346,"studies":349,"series":19177,"instances":310107,"size_TB":0.017,"modalities":["MR","SEG","SR"],"licenses":[{"license_short_name":"CC BY 3.0","series":18485,"size_TB":0.016},{"license_short_name":"CC BY 4.0","series":692,"size_TB":0.0}]}