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

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

doi:10.3389/fonc.2021.730375

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

Front Oncol. 2021 Jul 6:11:730375. doi: 10.3389/fonc.2021.730375. eCollection 2021.

Authors

Kailyn Stenhouse^{1

2}, Michael Roumeliotis^{1

2

3}, Philip Ciunkiewicz⁴, Robyn Banerjee^{3

5}, Svetlana Yanushkevich⁶, Philip McGeachy^{1

2

3}

Affiliations

¹ Department of Physics and Astronomy, University of Calgary, Calgary, AB, Canada.
² Department of Medical Physics, Tom Baker Cancer Centre, Calgary, AB, Canada.
³ Department of Oncology, University of Calgary, Calgary, AB, Canada.
⁴ Department of Biomedical Engineering, University of Calgary, Calgary, AB, Canada.
⁵ Department of Radiation Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada.
⁶ Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada.

Abstract

[This corrects the article DOI: 10.3389/fonc.2021.611437.].

Keywords: decision-support tools; gynecologic brachytherapy; high-dose-rate brachytherapy; intracavitary brachytherapy; machine learning; radiation oncology.

Publication types

Published Erratum