Respiratory motion prediction based on deep artificial neural networks in CyberKnife system: A comparative study.

Journal: Journal of applied clinical medical physics
Published Date: Dec 1, 2022

Abstract

BACKGROUND: In external beam radiotherapy, a prediction model is required to compensate for the temporal system latency that affects the accuracy of radiation dose delivery. This study focused on a thorough comparison of seven deep artificial neural networks to propose an accurate and reliable prediction model.

Authors

  • Payam Samadi Miandoab
    Department of Energy Engineering and Physics, Medical Radiation Engineering Group, Amirkabir University of Technology, Tehran, Iran.
  • Shahyar Saramad
    Department of Energy Engineering and Physics, Medical Radiation Engineering Group, Amirkabir University of Technology, Tehran, Iran.
  • Saeed Setayeshi
    Institute for Cognitive Sciences Studies, Tehran, Iran; Medical Radiation Eng. Department, Faculty of Physics and Energy Eng., Amirkabir University of Technology, (Tehran Polytechnics), Tehran, Iran. Electronic address: setayesh@aut.ac.ir.

Keywords

External Resources

Popular Topics
Recent Journals