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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...
Autores principales: | Stenhouse, Kailyn, Roumeliotis, Michael, Ciunkiewicz, Philip, Banerjee, Robyn, Yanushkevich, Svetlana, McGeachy, Philip |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
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 |
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