In the published article, there was an error in Supplementary Tables F1, F2. Incorrect numbers were inserted into the two specificity columns. All other columns are correct.
The corrected Supplementary Tables F1, F2 has been published in the original article.
The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way and does not change the original article in any way. The original Supplementary material file has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
machine learning, deep learning, artificial intelligence, feature selection, radiomics, head and neck cancer, interpretability, outcome prediction
Citation
Huynh BN, Groendahl AR, Tomic O, Liland KH, Knudtsen IS, Hoebers F, van Elmpt W, Malinen E, Dale E and Futsaether CM (2024) Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics. Front. Med. 11:1421603. doi: 10.3389/fmed.2024.1421603
Received
22 April 2024
Accepted
06 May 2024
Published
14 May 2024
Volume
11 - 2024
Edited and reviewed by
Giulia Besutti, IRCCS Local Health Authority of Reggio Emilia, Italy
Updates
Copyright
© 2024 Huynh, Groendahl, Tomic, Liland, Knudtsen, Hoebers, van Elmpt, Malinen, Dale and Futsaether.
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: Cecilia Marie Futsaether cecilia.futsaether@nmbu.no
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.