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Data from TCIA collections have and continue to be used for image analysis challenges or competitions, e.g., image segmentation , or tumor classification, etc.  Specific challenges enabled by leveraging our data are described here, as well as how to obtain their related data from TCIA where applicable.

PROSTATEx Challenge 2017

SPIE, along with the support of the 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 clinically significant prostate lesions. As part of the 2017 SPIE Medical Imaging Symposium, the PROSTATEx Challenge will provide a unique opportunity for participants to compare their algorithms with those of others from academia, industry, and government in a structured, direct way using the same data sets.

MICCAI 2016 – Computational Precision Medicine

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below. Please note that the challenges are not managed by TCIA staff, and in many cases you will be sent to web sites that are not affiliated with TCIA to learn more about them.



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