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Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723445/ https://www.ncbi.nlm.nih.gov/pubmed/36482915 http://dx.doi.org/10.3389/fmed.2022.1089705 |
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author | Fanizzi, Annarita Scognamillo, Giovanni Nestola, Alessandra Bambace, Santa Bove, Samantha Comes, Maria Colomba Cristofaro, Cristian Didonna, Vittorio Di Rito, Alessia Errico, Angelo Palermo, Loredana Tamborra, Pasquale Troiano, Michele Parisi, Salvatore Villani, Rossella Zito, Alfredo Lioce, Marco Massafra, Raffaella |
author_facet | Fanizzi, Annarita Scognamillo, Giovanni Nestola, Alessandra Bambace, Santa Bove, Samantha Comes, Maria Colomba Cristofaro, Cristian Didonna, Vittorio Di Rito, Alessia Errico, Angelo Palermo, Loredana Tamborra, Pasquale Troiano, Michele Parisi, Salvatore Villani, Rossella Zito, Alfredo Lioce, Marco Massafra, Raffaella |
author_sort | Fanizzi, Annarita |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9723445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97234452022-12-07 Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer Fanizzi, Annarita Scognamillo, Giovanni Nestola, Alessandra Bambace, Santa Bove, Samantha Comes, Maria Colomba Cristofaro, Cristian Didonna, Vittorio Di Rito, Alessia Errico, Angelo Palermo, Loredana Tamborra, Pasquale Troiano, Michele Parisi, Salvatore Villani, Rossella Zito, Alfredo Lioce, Marco Massafra, Raffaella Front Med (Lausanne) Medicine Frontiers Media S.A. 2022-11-22 /pmc/articles/PMC9723445/ /pubmed/36482915 http://dx.doi.org/10.3389/fmed.2022.1089705 Text en Copyright © 2022 Fanizzi, Scognamillo, Nestola, Bambace, Bove, Comes, Cristofaro, Didonna, Di Rito, Errico, Palermo, Tamborra, Troiano, Parisi, Villani, Zito, Lioce and Massafra. 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 | Medicine Fanizzi, Annarita Scognamillo, Giovanni Nestola, Alessandra Bambace, Santa Bove, Samantha Comes, Maria Colomba Cristofaro, Cristian Didonna, Vittorio Di Rito, Alessia Errico, Angelo Palermo, Loredana Tamborra, Pasquale Troiano, Michele Parisi, Salvatore Villani, Rossella Zito, Alfredo Lioce, Marco Massafra, Raffaella Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer |
title | Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer |
title_full | Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer |
title_fullStr | Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer |
title_full_unstemmed | Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer |
title_short | Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer |
title_sort | corrigendum: transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723445/ https://www.ncbi.nlm.nih.gov/pubmed/36482915 http://dx.doi.org/10.3389/fmed.2022.1089705 |
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