Automatic classification of informative laryngoscopic images using deep learning

Abstract

The CNN-based classifier demonstrates high precision for classifying informative frames in flexible laryngostroboscopic videos. This model has the potential to aid researchers with dataset creation for computer-aided diagnosis systems by automatically extracting relevant frames from laryngoscopic videos.