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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
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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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