Comparison of convolutional neural networks for classification of vocal fold nodules from high-speed video images.

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
Published Date:

Abstract

OBJECTIVES: Deep learning is in this study used through convolutional neural networks (CNN) to the determination of vocal fold nodules. Through high-speed video (HSV) images and computer-assisted tools, a comparison of convolutional neural network models and their accuracy will be presented.

Authors

  • Christian Frederik Larsen
    Copenhagen Business School, Copenhagen, Denmark. christian.f.l@gmail.com.
  • Mette Pedersen
    Medical Centre, Østergade 18, 1, 1100, Copenhagen, Denmark.