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

Internet

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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