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, Mr LIHOREAU Thomas


Tous les auteurs :
Gaiffe O, Mahdjoub J, Ramasso E, Mauvais O, Lihoreau T, Pazart L, Wacogne B, Tavernier L

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;: