Automatic classification of informative laryngoscopic images using deep learning
Sign Up to like & getrecommendations! Published in 2022 at "Laryngoscope Investigative Otolaryngology"
DOI: 10.1002/lio2.754
Abstract: This study aims to develop and validate a convolutional neural network (CNN)‐based algorithm for automatic selection of informative frames in flexible laryngoscopic videos. The classifier has the potential to aid in the development of computer‐aided… read more here.
Keywords: informative laryngoscopic; laryngoscopic; laryngoscopic images; images using ... See more keywords
Simple method for obtaining the optimal laryngoscopic view in children: A prospective observational study
Sign Up to like & getrecommendations! Published in 2017 at "American Journal of Emergency Medicine"
DOI: 10.1016/j.ajem.2017.01.048
Abstract: Background Head and neck positioning has an important effect on laryngeal visualization during laryngoscopy. For small children and infants, a head‐flat position is traditionally assumed; however, during laryngoscopy, the optimal head position may result in… read more here.
Keywords: head; meatus sternal; view; external auditory ... See more keywords
Computer-aided diagnosis of laryngeal cancer via deep learning based on laryngoscopic images
Sign Up to like & getrecommendations! Published in 2019 at "EBioMedicine"
DOI: 10.1016/j.ebiom.2019.08.075
Abstract: Objective To develop a deep convolutional neural network (DCNN) that can automatically detect laryngeal cancer (LCA) in laryngoscopic images. Methods A DCNN-based diagnostic system was constructed and trained using 13,721 laryngoscopic images of LCA, precancerous… read more here.
Keywords: laryngoscopic images; laryngoscopic; laryngeal cancer; lca ... See more keywords