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Updated: Jun 23, 2025

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DAFT-Net:使用增强的U-Net架构进行双重注意力和快速舌头轮提取

Xinqiang Wang1,2, Wenhuan Lu3, Hengxin Liu4

  • 1Tianjin Key Lab of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin 300350, China.

Entropy (Basel, Switzerland)
|June 26, 2024
PubMed
概括

这项研究介绍了DAFT-Net,这是一个新的轻量级网络,用于在无声语音研究中精确的实时超声波舌头轮提取. DAFT-Net 增强了特征表示,降低了计算负载,提高了医疗图像细分性能.

关键词:
双重注意力机制是什么的优化优化的优化.功能提取 特性提取图像细分 图像细分实时实时的时间.舌头的轮 舌头的轮

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