Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Radboud University Nijmegen · Radboud University Medical Center · +1 more institution

Abstract

Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medical image registration ap- proaches on a wide range of clinically relevant tasks. This limits the development of registration methods, the adoption of research advances into practice, and a fair benchmark across competing approaches. The Learn2Reg challenge addresses these limitations by providing a multi- task medical image registration data set for comprehen- sive characterisation of deformable registration algorithms. A continuous evaluation will be possible at https:// learn2reg.grand-challenge.org. Learn2Reg covers a wide range…

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225
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47.37
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100%
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Authors

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Topics & keywords

Keywords
  • Image registration
  • Artificial intelligence
  • Computer science
  • Deep learning
  • Task (project management)
  • Computer vision
  • Medical imaging
  • Image (mathematics)
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