Automatic classification of informative laryngoscopic images using deep learning

OBJECTIVE: 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 diagnosis systems and reduce data proce...

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Detalles Bibliográficos
Autores principales: Yao, Peter, Witte, Dan, Gimonet, Hortense, German, Alexander, Andreadis, Katerina, Cheng, Michael, Sulica, Lucian, Elemento, Olivier, Barnes, Josue, Rameau, Anaïs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Laryngology, Speech and Language Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008155/
https://www.ncbi.nlm.nih.gov/pubmed/35434326
http://dx.doi.org/10.1002/lio2.754

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008155/
https://www.ncbi.nlm.nih.gov/pubmed/35434326
http://dx.doi.org/10.1002/lio2.754

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