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Challenges are being increasingly viewed as a mechanism to foster advances in a number of domainsfields, including healthcare and medicine. Large quantities of publicly available data, such as TCIA, and cultural changes in the openness of science have now made it possible to use these challenges, as well as crowdsourcing (enlisting the services of people via the Internet), to propel the field forward.

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As explained in the Challenge Management System Evaluation Report, challenge hosts and participants cannot do it alone. The computing resourcing needed to process these large datasets may be beyond what is available to individual participants. For the organizers, creating the an infrastructure that is secure, robust, and scalable can require resources such as IT support, computing capability, and domain knowledge, which that are beyond the reach of many researchers. Additionally, imaging formats for pathology images can be proprietary and interoperability between formats can require additional software development efforts.

The Pilot Challenges sub-project of CTIIP seeks to make available a set of integrated data from TCIA and TCGA available for three complementary "pilot challenge" projects from clinical imaging, co-clinical imaging, and digital pathology. The "pilot" in the name refers to goal of leveraging As opposed to a more rigorous "grand" challenge, each pilot challenge will function as a proof of concept to learn how to scale challenges up in the future. Each challenge will use the informatics infrastructure created in the Digital Pathology and Integrated Query System sub-project to determine if it can be scaled up to more rigorous challenges. These pilot challenges will and allow participants to validate and share algorithms on a software clearinghouse platform such as HUBZero.

and support precision medicine and clinical decision making tools, including correlation of imaging phenotypes with genomics signatures.

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