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

Kailyn Stenhouse,Svetlana Yanushkevich,Philip Mcgeachy,Philip Ciunkiewicz,Michael Roumeliotis,Robyn Banerjee

doi:10.3389/fonc.2021.730375

Abstract

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

Highlights

A Corrigendum on Development of a Machine Learning Model for Optimal Applicator Selection in High-DoseRate Cervical Brachytherapy By Stenhouse K, Roumeliotis M, Ciunkiewicz P, Banerjee R, Yanushkevich S and McGeachy P (2021)
Specialty section: This article was submitted to Radiation Oncology, a section of the journal
Philip Ciunkiewicz was not included as an author in the published article

Summary

Introduction

A Corrigendum on Development of a Machine Learning Model for Optimal Applicator Selection in High-DoseRate Cervical Brachytherapy By 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-DoseRate Cervical Brachytherapy Kailyn Stenhouse 1,2*, Michael Roumeliotis 1,2,3, Philip Ciunkiewicz 4, Robyn Banerjee 3,5, Svetlana Yanushkevich 6 and Philip McGeachy 1,2,3

Results

Conclusion