Simulation-based optimization of radiotherapy: Agent-based modeling and reinforcement learning

@article{Jalalimanesh2017SimulationbasedOO,
  title={Simulation-based optimization of radiotherapy: Agent-based modeling and reinforcement learning},
  author={Ammar Jalalimanesh and Hamidreza Shahabi Haghighi and Abbas Ahmadi and Madjid Soltani},
  journal={Mathematics and Computers in Simulation},
  year={2017},
  volume={133},
  pages={235-248}
}
Along with surgery and chemotherapy, radiotherapy is an effective way to treat cancer. Many cancer patients take delivery of radiation. The goal of radiotherapy is to destroy the tumor without damaging healthy tissue. Due to the complexity of the procedure, modeling and simulation can be useful for radiotherapy. In this research we propose a new approach to optimize dose calculation in radiotherapy. We consider fix schedule of irradiation and varying the fraction size during the treatment. The… CONTINUE READING