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Deep learning-based prediction of deliverable adaptive plans for MR-guided adaptive radiotherapy: A feasibility study.

Laura BuchananSaleh HamdanYing ZhangXinfeng ChenX Allen Li
Published in: Frontiers in oncology (2023)
We have proposed and demonstrated a deep learning method to generate adaptive plans automatically and rapidly for MRgOART. With further developments using large datasets and the inclusion of patient contours, the method may be implemented to accelerate MRgOART process or even to facilitate MRgRART.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • early stage
  • machine learning
  • case report
  • magnetic resonance
  • squamous cell carcinoma
  • contrast enhanced
  • single cell