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Corrigendum: Transfer learning approach based on computed t..:
Annarita Fanizzi
;
Giovanni Scognamillo
;
Alessandra Nestola
...
https://www.frontiersin.org/articles/10.3389/fmed.2022.1089705/full. , 2022
Link:
https://doi.org/10.3389/fmed.2022.1089705
RT Journal T1
Corrigendum: Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:1fd6c4bcbe6c4153aec24bf6bdf2ce8d&Exemplar=1&LAN=DE A1 Annarita Fanizzi A1 Giovanni Scognamillo A1 Alessandra Nestola A1 Santa Bambace A1 Samantha Bove A1 Maria Colomba Comes A1 Cristian Cristofaro A1 Vittorio Didonna A1 Alessia Di Rito A1 Angelo Errico A1 Loredana Palermo A1 Pasquale Tamborra A1 Michele Troiano A1 Salvatore Parisi A1 Rossella Villani A1 Alfredo Zito A1 Marco Lioce A1 Raffaella Massafra PB Frontiers Media S.A. YR 2022 K1 deep learning K1 xerostomia K1 oropharyngeal cancer K1 CT images K1 CNN-convolutional neural network K1 Medicine (General) K1 R5-920 JF https://www.frontiersin.org/articles/10.3389/fmed.2022.1089705/full LK http://dx.doi.org/https://doi.org/10.3389/fmed.2022.1089705 DO https://doi.org/10.3389/fmed.2022.1089705 SF ELIB - SuUB Bremen
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