CORRECTION article

Front. Med., 22 November 2022

Sec. Translational Medicine

Volume 9 - 2022 | https://doi.org/10.3389/fmed.2022.1089705

Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer

  • 1. IRCCS Istituto Tumori “Giovanni Paolo II”, Bari, Italy

  • 2. Ospedale Monsignor Raffaele Dimiccoli, Barletta, Italy

  • 3. IRCCS Casa Sollievo della Sofferenza, Opera di San Pio da Pietrelcina Viale Cappuccini, Foggia, Italy

In the published article, there was an error in the Funding statement. The Funding statement for the Italian Ministry of Health was reported related to year “2002” as follows:

“This work was supported by funding from the Italian Ministry of Health, Ricerca Corrente 2002 Deliberation no. 219/2022, and Alleanza Contro il Cancro Association within the RADECISION project.”

The correct Funding statement appears below.

Funding

“This work was supported by funding from the Italian Ministry of Health, Ricerca Corrente 2022 Deliberation no. 219/2022, and Alleanza Contro il Cancro Association within the RADECISION project.”

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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

deep learning, xerostomia, oropharyngeal cancer, CT images, CNN-convolutional neural network

Citation

Fanizzi A, Scognamillo G, Nestola A, Bambace S, Bove S, Comes MC, Cristofaro C, Didonna V, Di Rito A, Errico A, Palermo L, Tamborra P, Troiano M, Parisi S, Villani R, Zito A, Lioce M and Massafra R (2022) Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer. Front. Med. 9:1089705. doi: 10.3389/fmed.2022.1089705

Received

04 November 2022

Accepted

07 November 2022

Published

22 November 2022

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

9 - 2022

Updates

Copyright

*Correspondence: Samantha Bove Maria Colomba Comes

This article was submitted to Translational Medicine, a section of the journal Frontiers in Medicine

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.

Outline

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics