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

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/PMC8290893/
https://www.ncbi.nlm.nih.gov/pubmed/34295829
http://dx.doi.org/10.3389/fonc.2021.730375
_version_ 1783724544117178368
author Stenhouse, Kailyn
Roumeliotis, Michael
Ciunkiewicz, Philip
Banerjee, Robyn
Yanushkevich, Svetlana
McGeachy, Philip
author_facet Stenhouse, Kailyn
Roumeliotis, Michael
Ciunkiewicz, Philip
Banerjee, Robyn
Yanushkevich, Svetlana
McGeachy, Philip
author_sort Stenhouse, Kailyn
collection PubMed
description
format Online
Article
Text
id pubmed-8290893
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-82908932021-07-21 Corrigendum: 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 Front Oncol Oncology Frontiers Media S.A. 2021-07-06 /pmc/articles/PMC8290893/ /pubmed/34295829 http://dx.doi.org/10.3389/fonc.2021.730375 Text en Copyright © 2021 Stenhouse, Roumeliotis, Ciunkiewicz, Banerjee, Yanushkevich and McGeachy https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Oncology
Stenhouse, Kailyn
Roumeliotis, Michael
Ciunkiewicz, Philip
Banerjee, Robyn
Yanushkevich, Svetlana
McGeachy, Philip
Corrigendum: Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy
title Corrigendum: Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy
title_full Corrigendum: Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy
title_fullStr Corrigendum: Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy
title_full_unstemmed Corrigendum: Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy
title_short Corrigendum: Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy
title_sort corrigendum: development of a machine learning model for optimal applicator selection in high-dose-rate cervical brachytherapy
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290893/
https://www.ncbi.nlm.nih.gov/pubmed/34295829
http://dx.doi.org/10.3389/fonc.2021.730375
work_keys_str_mv AT stenhousekailyn corrigendumdevelopmentofamachinelearningmodelforoptimalapplicatorselectioninhighdoseratecervicalbrachytherapy
AT roumeliotismichael corrigendumdevelopmentofamachinelearningmodelforoptimalapplicatorselectioninhighdoseratecervicalbrachytherapy
AT ciunkiewiczphilip corrigendumdevelopmentofamachinelearningmodelforoptimalapplicatorselectioninhighdoseratecervicalbrachytherapy
AT banerjeerobyn corrigendumdevelopmentofamachinelearningmodelforoptimalapplicatorselectioninhighdoseratecervicalbrachytherapy
AT yanushkevichsvetlana corrigendumdevelopmentofamachinelearningmodelforoptimalapplicatorselectioninhighdoseratecervicalbrachytherapy
AT mcgeachyphilip corrigendumdevelopmentofamachinelearningmodelforoptimalapplicatorselectioninhighdoseratecervicalbrachytherapy

Ejemplares similares