A Deep-Learning Model for Multi-class Audio Classification of Vocal Fold Pathologies in Office Stroboscopy

Kim, Y. E., Dobko, M., Li, H., Shao, T., Periyakoil, P., Tipton, C., Colasacco, C., Serpedin, A., Elemento, O., Sabuncu, M., Pitman, M., Sulica, L., & Rameau, A. (2025). A Deep‐Learning Model for Multi‐class Audio Classification of Vocal Fold Pathologies in Office Stroboscopy. The Laryngoscope. Portico. https://doi.org/10.1002/lary.32036
Authors:
Yeo E Kim
Maria Dobko
Haomiao Li
Tianlan Shao
Preethi Periyakoil
Courtney Tipton
Christine Colasacco
Aisha Serpedin
Olivier Elemento
Mert Sabuncu
Michael Pitman
Lucian Sulica
Anaïs Rameau
Affiliated Authors:
Christine Colasacco
Michael Pitman
Author Keywords:
artificial intelligence
computer‐aided diagnosis
convolutional neural network
deep learning
laryngology
Publication Type:
Article
Unique ID:
10.1002/lary.32036
PMID:
Journal:
Publication Date:
Data Source:
PubMed

Record Created: