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

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

Abstract Background Any Monte Carlo simulation of dose delivery using medical accelerator-generated megavolt photon beams begins by simulating electrons of the primary electron beam interacting with a target. Because the electron beam characteristics of any single accelerator are unique and generall...

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Bibliographic Details
Main Authors: Zbisław Tabor, Damian Kabat, Michael P. R. Waligórski
Format: Article
Language:English
Published: BMC 2021-06-01
Series:Radiation Oncology
Subjects:
Machine learning
Deep learning
Monte Carlo
Beam simulation
Quality assurance (QA)
Quality control (QC)
Online Access:https://doi.org/10.1186/s13014-021-01847-w

Internet

https://doi.org/10.1186/s13014-021-01847-w

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