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Evaluation of a deformable image registration quality assurance tool for head and neck cancer patients.

Molly MeeKate StewartMarika LathourasHelen TruongCatriona Hargrave
Published in: Journal of medical radiation sciences (2021)
Results from qualitative and quantitative data, operator rating differences and rating time suggest highlighting only bad regions of DIR accuracy and implementing clinical guidelines and RT training for consistent and efficient use of the QA tool.
Keyphrases
  • deep learning
  • high resolution
  • systematic review
  • big data
  • quality improvement
  • machine learning
  • virtual reality
  • data analysis