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

Stenhouse, Kailyn; Roumeliotis, Michael; Ciunkiewicz, Philip; Banerjee, Robyn; Yanushkevich, Svetlana; McGeachy, Philip

Stenhouse, Kailyn; Roumeliotis, Michael; Ciunkiewicz, Philip; Banerjee, Robyn; Yanushkevich, Svetlana; McGeachy, Philip.

Afiliação

Stenhouse K; Department of Physics and Astronomy, University of Calgary, Calgary, AB, Canada.
Roumeliotis M; Department of Medical Physics, Tom Baker Cancer Centre, Calgary, AB, Canada.
Ciunkiewicz P; Department of Physics and Astronomy, University of Calgary, Calgary, AB, Canada.
Banerjee R; Department of Medical Physics, Tom Baker Cancer Centre, Calgary, AB, Canada.
Yanushkevich S; Department of Oncology, University of Calgary, Calgary, AB, Canada.
McGeachy P; Department of Radiation Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada.

Front Oncol ; 11: 611437, 2021.

Article em En | MEDLINE | ID: mdl-33747926

Palavras-chave

decision-support tools; gynecologic brachytherapy; high-dose-rate brachytherapy; intracavitary brachytherapy (ICBT); machine learning; radiation oncology

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article