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Updated: Jul 6, 2026

In Vivo Three-Dimensional Two-Photon Microscopy to Study Conducted Vascular Responses by Local ATP Ejection Using a Glass Micro-Pipette
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DeepPerfusion:一种可理解的双分支深度学习架构,用于基于成像光电脉冲图的高精度血液体积脉冲提取

Matthieu Scherpf1, Hannes Ernst1, Hagen Malberg1

  • 1Institute of Biomedical Engineering, TU Dresden, Germany.

Computers in biology and medicine
|July 4, 2025
PubMed
概括

通过深度学习,DeepPerfusion增强了无接触血液体积脉动 (BVP) 提取. 这种方法提高了心率的准确性和信号质量,优于现有的方法,用于未来的诊断应用.

关键词:
基于摄像机的光电质量学摄影.深度学习是一种深度学习.图像照相图解质量学 图像照相图解质量学遥控光电解声学 遥控光电解声学遥控生命体征提取 遥控生命体征提取

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