Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing
Many imaging biomarkers (IBs) fail clinical translation. The main reason is not a lack of utility, but translational gaps  during validation and qualification. One important problem in this context is the landscape of existing IT systems in the clinical environment. Systems are highly heterogeneous and proprietary, causing significant translational challenges that are often purely infrastructural in nature.
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