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双输入深度学习架构用于ABR信号的分类和延迟估计.

Youssef Darahem1, Oguz Yilmaz2, Halil B Saldirim3

  • 1Department of Computer Engineering, Istanbul Medipol University, Istanbul, Türkiye.

Frontiers in medicine
|November 27, 2025
PubMed
概括

这项研究引入了一个深度学习模型来分析听觉脑干反应 (ABR). 新方法精确检测V波的存在和延迟,改善听力障碍诊断.

关键词:
听觉脑干响应 (ABR) 是一种卷积神经网络 (CNN) 是一种神经网络.深度学习是一种深度学习.机器学习 (ML) 是指机器学习.转移学习转移学习

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