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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… Click to show full 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 diagnosis systems and reduce data processing time for clinician‐computer scientist teams.
Keywords:
informative laryngoscopic;
laryngoscopic;
laryngoscopic images;
images using;
automatic classification;
classification informative
Journal Title: Laryngoscope Investigative Otolaryngology
Year Published: 2022
Link to full text (if available)
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Journal Title: Laryngoscope Investigative Otolaryngology
Year Published: 2022
Link to full text (if available)
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recommendations!