Discrimination of vocal folds lesions by multiclass classification using autofluorescence spectroscopy: An ex vivo study.
Fiche publication
Date publication
février 2024
Journal
Head & neck
Auteurs
Membres identifiés du Cancéropôle Est :
Dr PAZART Lionel, Dr WACOGNE Bruno
Tous les auteurs :
Gaiffe O, Mahdjoub J, Ramasso E, Mauvais O, Lihoreau T, Pazart L, Wacogne B, Tavernier L
Lien Pubmed
Résumé
Autofluorescence spectroscopy is effective for noninvasive detection but underutilized in tissue with various pathology analyses. This study evaluates whether AFS can be used to discriminate between different types of laryngeal lesions in view of assisting in vocal fold surgery and preoperative investigations.
Mots clés
autofluorescence, head and neck cancer, machine learning, spectrometry, vocal cords
Référence
Head Neck. 2024 02 1;: