Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy

PURPOSE: To develop and validate a preliminary machine learning (ML) model aiding in the selection of intracavitary (IC) versus hybrid interstitial (IS) applicators for high-dose-rate (HDR) cervical brachytherapy. METHODS: From a dataset of 233 treatments using IC or IS applicators, a set of geometr...

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Detalles Bibliográficos
Autores principales: Stenhouse, Kailyn, Roumeliotis, Michael, Ciunkiewicz, Philip, Banerjee, Robyn, Yanushkevich, Svetlana, McGeachy, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973285/
https://www.ncbi.nlm.nih.gov/pubmed/33747926
http://dx.doi.org/10.3389/fonc.2021.611437

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973285/
https://www.ncbi.nlm.nih.gov/pubmed/33747926
http://dx.doi.org/10.3389/fonc.2021.611437

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