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author Annarita Fanizzi
Giovanni Scognamillo
Alessandra Nestola
Santa Bambace
Samantha Bove
Maria Colomba Comes
Cristian Cristofaro
Vittorio Didonna
Alessia Di Rito
Angelo Errico
Loredana Palermo
Pasquale Tamborra
Michele Troiano
Salvatore Parisi
Rossella Villani
Alfredo Zito
Marco Lioce
Raffaella Massafra
author_facet Annarita Fanizzi
Giovanni Scognamillo
Alessandra Nestola
Santa Bambace
Samantha Bove
Maria Colomba Comes
Cristian Cristofaro
Vittorio Didonna
Alessia Di Rito
Angelo Errico
Loredana Palermo
Pasquale Tamborra
Michele Troiano
Salvatore Parisi
Rossella Villani
Alfredo Zito
Marco Lioce
Raffaella Massafra
author_sort Annarita Fanizzi
collection DOAJ
first_indexed 2024-04-12T06:42:18Z
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id doaj.art-1fd6c4bcbe6c4153aec24bf6bdf2ce8d
institution Directory Open Access Journal
issn 2296-858X
language English
last_indexed 2024-04-12T06:42:18Z
publishDate 2022-11-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Medicine
spelling doaj.art-1fd6c4bcbe6c4153aec24bf6bdf2ce8d2022-12-22T03:43:41ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-11-01910.3389/fmed.2022.10897051089705Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancerAnnarita Fanizzi0Giovanni Scognamillo1Alessandra Nestola2Santa Bambace3Samantha Bove4Maria Colomba Comes5Cristian Cristofaro6Vittorio Didonna7Alessia Di Rito8Angelo Errico9Loredana Palermo10Pasquale Tamborra11Michele Troiano12Salvatore Parisi13Rossella Villani14Alfredo Zito15Marco Lioce16Raffaella Massafra17IRCCS Istituto Tumori “Giovanni Paolo II”, Bari, ItalyIRCCS Istituto Tumori “Giovanni Paolo II”, Bari, ItalyIRCCS Istituto Tumori “Giovanni Paolo II”, Bari, ItalyOspedale Monsignor Raffaele Dimiccoli, Barletta, ItalyIRCCS Istituto Tumori “Giovanni Paolo II”, Bari, ItalyIRCCS Istituto Tumori “Giovanni Paolo II”, Bari, ItalyIRCCS Istituto Tumori “Giovanni Paolo II”, Bari, ItalyIRCCS Istituto Tumori “Giovanni Paolo II”, Bari, ItalyOspedale Monsignor Raffaele Dimiccoli, Barletta, ItalyOspedale Monsignor Raffaele Dimiccoli, Barletta, ItalyIRCCS Istituto Tumori “Giovanni Paolo II”, Bari, ItalyIRCCS Istituto Tumori “Giovanni Paolo II”, Bari, ItalyIRCCS Casa Sollievo della Sofferenza, Opera di San Pio da Pietrelcina Viale Cappuccini, Foggia, ItalyIRCCS Casa Sollievo della Sofferenza, Opera di San Pio da Pietrelcina Viale Cappuccini, Foggia, ItalyIRCCS Istituto Tumori “Giovanni Paolo II”, Bari, ItalyIRCCS Istituto Tumori “Giovanni Paolo II”, Bari, ItalyIRCCS Istituto Tumori “Giovanni Paolo II”, Bari, ItalyIRCCS Istituto Tumori “Giovanni Paolo II”, Bari, Italyhttps://www.frontiersin.org/articles/10.3389/fmed.2022.1089705/fulldeep learningxerostomiaoropharyngeal cancerCT imagesCNN-convolutional neural network
spellingShingle Annarita Fanizzi
Giovanni Scognamillo
Alessandra Nestola
Santa Bambace
Samantha Bove
Maria Colomba Comes
Cristian Cristofaro
Vittorio Didonna
Alessia Di Rito
Angelo Errico
Loredana Palermo
Pasquale Tamborra
Michele Troiano
Salvatore Parisi
Rossella Villani
Alfredo Zito
Marco Lioce
Raffaella Massafra
Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer
Frontiers in Medicine
deep learning
xerostomia
oropharyngeal cancer
CT images
CNN-convolutional neural network
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 deep learning
xerostomia
oropharyngeal cancer
CT images
CNN-convolutional neural network
url https://www.frontiersin.org/articles/10.3389/fmed.2022.1089705/full
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