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多分支卷积网络和LSTM-CNN用于心脏声音分类.

Seyed Amir Latifi1, Hassan Ghassemian2, Maryam Imani1

  • 1Image Processing and Information Analysis Lab, Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran.

Physical and engineering sciences in medicine
|November 7, 2025
PubMed
概括

这项研究引入了两种深度学习模型,用于使用心脏声音快速,经济高效地诊断心脏病. 长期短期记忆 - 卷积神经 (LSCN) 模型实现了高精度,优于早期心血管疾病检测的现有方法.

关键词:
心血管疾病的分类心血管疾病的分类功能提取 功能提取心脏的声音听起来像是声音.这是LSTM的LSTM.多个分支机构-CNN

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