Reinforcement Learning for Radiotherapy Dose Fractioning Automation

External beam radiotherapy cancer treatment aims to deliver dose fractions to slowly destroy a tumor while avoiding severe side effects in surrounding healthy tissues. To automate the dose fraction schedules, this paper investigates how deep reinforcement learning approaches (based on deep Q network...

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Bibliographic Details

Published in:	Biomedicines
Main Authors:	Grégoire Moreau, Vincent François-Lavet, Paul Desbordes, Benoît Macq
Format:	Article
Language:	English
Published:	MDPI AG 2021-02-01
Subjects:	reinforcement learning automatic treatment planning cellular simulation
Online Access:	https://www.mdpi.com/2227-9059/9/2/214