An integrated solution of deep reinforcement learning for automatic IMRT treatment planning in non-small-cell lung cancer

PURPOSE: To develop and evaluate an integrated solution for automatic intensity-modulated radiation therapy (IMRT) planning in non-small-cell lung cancer (NSCLC) cases. METHODS: A novel algorithm named as multi-objectives adjustment policy network (MOAPN) was proposed and trained to learn how to adj...

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Detalles Bibliográficos
Autores principales: Wang, Hanlin, Bai, Xue, Wang, Yajuan, Lu, Yanfei, Wang, Binbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936236/
https://www.ncbi.nlm.nih.gov/pubmed/36816929
http://dx.doi.org/10.3389/fonc.2023.1124458

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936236/
https://www.ncbi.nlm.nih.gov/pubmed/36816929
http://dx.doi.org/10.3389/fonc.2023.1124458

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