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...

Descripción completa

Detalles Bibliográficos
Autores principales: Moreau, Grégoire, François-Lavet, Vincent, Desbordes, Paul, Macq, Benoît
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922060/
https://www.ncbi.nlm.nih.gov/pubmed/33669816
http://dx.doi.org/10.3390/biomedicines9020214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922060/
https://www.ncbi.nlm.nih.gov/pubmed/33669816
http://dx.doi.org/10.3390/biomedicines9020214

Ejemplares similares