This article is a correction to:
Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy
Kailyn Stenhouse1,2*
Michael Roumeliotis1,2,3
Philip Ciunkiewicz4
Robyn Banerjee3,5Svetlana Yanushkevich6Philip McGeachy1,2,3- 1Department of Physics and Astronomy, University of Calgary, Calgary, AB, Canada
- 2Department of Medical Physics, Tom Baker Cancer Centre, Calgary, AB, Canada
- 3Department of Oncology, University of Calgary, Calgary, AB, Canada
- 4Department of Biomedical Engineering, University of Calgary, Calgary, AB, Canada
- 5Department of Radiation Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
- 6Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada
A Corrigendum on
Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy
By Stenhouse K, Roumeliotis M, Ciunkiewicz P, Banerjee R, Yanushkevich S and McGeachy P (2021). Front. Oncol. 11:611437. doi: 10.3389/fonc.2021.611437
Philip Ciunkiewicz was not included as an author in the published article. The corrected Author Contributions Statement appears below.
KS and PC collected data, extracted features, deployed and evaluated machine learning algorithms, interpreted and visualized results, and drafted the manuscript. MR and PM conceptualized the project and participated in the study design, analysis and interpretation of results, and drafting of the manuscript. RB and SY provided expert guidance throughout the study and interpretation of results. All authors contributed to the article and approved the submitted version
In the published article, there was an error regarding the affiliation for Philip Ciunkiewicz. They should have 4Department of Biomedical Engineering, University of Calgary, Calgary, AB, Canada.
The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated
Keywords: gynecologic brachytherapy, intracavitary brachytherapy, high-dose-rate brachytherapy, radiation oncology, machine learning, decision-support tools
Citation: Stenhouse K, Roumeliotis M, Ciunkiewicz P, Banerjee R, Yanushkevich S and McGeachy P (2021) Corrigendum: Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy. Front. Oncol. 11:730375. doi: 10.3389/fonc.2021.730375
Received: 24 June 2021; Accepted: 25 June 2021;
Published: 06 July 2021.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2021 Stenhouse, Roumeliotis, Ciunkiewicz, Banerjee, Yanushkevich and McGeachy. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Kailyn Stenhouse, kailyn.stenhouse@gmail.com