相关实验视频

Updated: Sep 18, 2025

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing
07:22

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing

Published on: December 1, 2023

672

基于机器学习的声严重性的评估:以高速视频内镜为中心的多传感器方法

Tobias Schraut1, Anne Schützenberger1, Tomás Arias-Vergara2

  • 1Division of Phoniatrics and Pediatric Audiology at the Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.

Frontiers in artificial intelligence
|June 20, 2025
PubMed
概括

这项研究开发了一种机器学习模型,使用高速视频内镜 (HSV) 和声学记录来客观地评估声的严重程度. 将所有数据模式结合起来,提供了对声功能最准确的评估.

关键词:
深度学习是一种深度学习.功能选择 功能选择高速度视频内镜检查的声音 的声音图像处理是图像处理的过程.机器学习是机器学习.信号处理 信号处理 信号处理声音障碍 声音障碍 声音障碍

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