A

AZAM M. A.

Last name: AZAM M. A.

2021 (v1)

Publication

Metadata-only

Deep Learning Applied to White Light and Narrow Band Imaging Videolaryngoscopy: Toward Real-Time Laryngeal Cancer Detection

Azam M. A. Sampieri C. Ioppi A.

Objectives: 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). Study Design: Experimental study with...

Uploaded on: April 14, 2023