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Related Experiment Video

Updated: Jun 30, 2026

STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces
05:36

STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces

Published on: March 10, 2026

[Research on surgical instrument segmentation algorithm based on frequency-domain adaptive feature decomposition and

Zili Tan1,2, Wenxuan He3, Yujie Cao1,2

  • 1School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|June 28, 2026
PubMed
Summary

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A new algorithm, frequency-domain decoupling Mamba U-Net (FDMUNet), improves endoscopic surgical instrument segmentation by addressing the semantic gap in U-Net architectures. This method enhances feature details, leading to more accurate segmentation of surgical tools.

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Keywords:
Fourier transformSurgical instrument segmentationU-shaped networkVisual Mamba

Related Experiment Videos

Last Updated: Jun 30, 2026

STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces
05:36

STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces

Published on: March 10, 2026