Machine learning for dose-volume histogram based clinical decision-making support system in radiation therapy plans for brain tumors

PURPOSE: To create and investigate a novel, clinical decision-support system using machine learning (ML). METHODS AND MATERIALS: The ML model was developed based on 79 radiotherapy plans of brain tumor patients that were prescribed a total dose of 60 Gy delivered with volumetric-modulated arc therap...

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Detalles Bibliográficos
Autores principales: Siciarz, Pawel, Alfaifi, Salem, Uytven, Eric Van, Rathod, Shrinivas, Koul, Rashmi, McCurdy, Boyd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487981/
https://www.ncbi.nlm.nih.gov/pubmed/34632117
http://dx.doi.org/10.1016/j.ctro.2021.09.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487981/
https://www.ncbi.nlm.nih.gov/pubmed/34632117
http://dx.doi.org/10.1016/j.ctro.2021.09.001

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