Comparison of Convolutional Neural Network Models for Determination of Vocal Fold Normality in Laryngoscopic Images.

Journal: Journal of voice : official journal of the Voice Foundation
Published Date: Sep 1, 2022

Abstract

OBJECTIVES: Deep learning using convolutional neural networks (CNNs) is widely used in medical imaging research. This study was performed to investigate if vocal fold normality in laryngoscopic images can be determined by CNN-based deep learning and to compare accuracy of CNN models and explore the feasibility of application of deep learning on laryngoscopy.

Authors

  • Won Ki Cho
    Departments of Otorhinolaryngology-Head and Neck Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Seung-Ho Choi
    Departments of Otorhinolaryngology-Head and Neck Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea. Electronic address: shchoi@amc.seoul.kr.

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