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author:

史婧婷 (史婧婷.) [1] | 马炜 (马炜.) [2] | 刘婷 (刘婷.) [3] | 陈旭辉 (陈旭辉.) [4]

Abstract:

肌肉收缩训练对运动康复的意义重大,为了研究卷积神经网络(Convolutional Neural Network,CNN)在肌肉收缩超声图像分类问题中的可行性并评估效果,采用两种CNN模型(ResNet101和VGG19)对肱二头肌超声图像中肌肉是否收缩进行分类,并开展对比分析.实验结果表明,VGG 19模型分类效果较好,在准确度、参数数量及训练效率上均有明显优势,泛化能力强.

Keyword:

卷积神经网络(CNN) 深度学习 肌肉收缩 超声图像分类

Community:

  • [ 1 ] [陈旭辉]福州大学
  • [ 2 ] [马炜]福州大学
  • [ 3 ] [史婧婷]福州大学
  • [ 4 ] [刘婷]福州大学

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Source :

电视技术

ISSN: 1002-8692

Year: 2022

Issue: 6

Volume: 46

Page: 63-67

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count: -1

Chinese Cited Count:

30 Days PV: 3

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