Explainable prediction model for the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma using CNN on CT images

Abstract Several studies have emphasised how positive and negative human papillomavirus (HPV+  and HPV−, respectively) oropharyngeal squamous cell carcinoma (OPSCC) has distinct molecular profiles, tumor characteristics, and disease outcomes. Different radiomics-based prediction models have been pro...

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Dettagli Bibliografici

Autori principali:	Annarita Fanizzi, Maria Colomba Comes, Samantha Bove, Elisa Cavalera, Paola de Franco, Alessia Di Rito, Angelo Errico, Marco Lioce, Francesca Pati, Maurizio Portaluri, Concetta Saponaro, Giovanni Scognamillo, Ippolito Troiano, Michele Troiano, Francesco Alfredo Zito, Raffaella Massafra
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2024-06-01
Serie:	Scientific Reports
Soggetti:	Human papillomavirus Oropharyngeal squamous cell carcinoma Convolutional neural network Explainable artificial intelligence Grad-CAM
Accesso online:	https://doi.org/10.1038/s41598-024-65240-9
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