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Updated: Jul 9, 2025

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
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TSFFM:基于面部和身体表情的潜在关联的抑郁症检测

Xingyun Li1, Xinyu Yi1, Lin Lu1

  • 1Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Shandong Engineering Research Center of Big Data Applied Technology, Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China; Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, China.

Computers in biology and medicine
|December 8, 2023
PubMed
概括

这项研究引入了一种新的双流特征融合模型 (TSFFM) 用于抑郁症识别,整合面部和身体表情. 该模型通过分析空间和时间特征来显著提高准确性,以便更好地检测抑郁.

关键词:
抑郁的检测检测 抑郁的检测在 FE FE FE FE 里面.功能融合的特点是:情绪分析是一种情绪分析.美国TSFFMM

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