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Published September 2, 2019 | Version v2019.09
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Grand Challenge.org

  • 1. Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
  • 2. Department of Radiology and Medical Informatics, Erasmus MC University Medical Center, Rotterdam, Netherlands
  • 3. Medical Image Computing (PSI), Faculty of Engineering, Katholieke Universiteit Leuven, Leuven, Belgium
  • 4. Netherlands eScience Center, Science Park 140, 1098 XG, Amsterdam, The Netherlands
  • 5. Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany

Description

A framework to objectively evaluate the performance of machine learning algorithms in biomedical imaging

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comic/grand-challenge.org-v2019.09.zip

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