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DeepBeam: a machine learning framework for tuning the primary electron beam of the PRIMO Monte Carlo software.

Zbisław TaborDamian KabatMichael P R Waligórski
Published in: Radiation oncology (London, England) (2021)
The proposed framework is a readily applicable and customizable tool which may be applied in tuning virtual primary electron beams of Monte Carlo simulators of linear accelerators. The codes, training and test data, together with readout procedures, are freely available at the site: https://github.com/taborzbislaw/DeepBeam .
Keyphrases
  • monte carlo
  • machine learning
  • big data
  • electronic health record
  • artificial intelligence
  • data analysis
  • electron microscopy
  • virtual reality
  • deep learning