Deep Learning Applied to White Light and Narrow Band Imaging Videolaryngoscopy: Toward Real-Time Laryngeal Cancer Detection
Articolo
Data di Pubblicazione:
2021
Abstract:
To assess a new application of artificial intelligence for real-time detection of laryngeal squamous cell carcinoma (LSCC) in both white light (WL) and narrow-band imaging (NBI) videolaryngoscopies based on the You-Only-Look-Once (YOLO) deep learning convolutional neural network (CNN).
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Larynx cancer; computer-assisted image interpretation; deep learning; narrow band imaging; videolaryngoscopy
Elenco autori:
Azam, Muhammad Adeel; Sampieri, Claudio; Ioppi, Alessandro; Africano, Stefano; Vallin, Alberto; Mocellin, Davide; Fragale, Marco; Guastini, Luca; Moccia, Sara; Piazza, Cesare; Mattos, Leonardo S; Peretti, Giorgio
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