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Deep Learning for Automatic Segmentation of Oral and Oropharyngeal Cancer Using Narrow Band Imaging: Preliminary Experience in a Clinical Perspective

INTRODUCTION: Fully convoluted neural networks (FCNN) applied to video-analysis are of particular interest in the field of head and neck oncology, given that endoscopic examination is a crucial step in diagnosis, staging, and follow-up of patients affected by upper aero-digestive tract cancers. The...

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Detalles Bibliográficos
Autores principales:	Paderno, Alberto, Piazza, Cesare, Del Bon, Francesca, Lancini, Davide, Tanagli, Stefano, Deganello, Alberto, Peretti, Giorgio, De Momi, Elena, Patrini, Ilaria, Ruperti, Michela, Mattos, Leonardo S., Moccia, Sara
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024583/ https://www.ncbi.nlm.nih.gov/pubmed/33842330 http://dx.doi.org/10.3389/fonc.2021.626602

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