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Updated: May 28, 2025

Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography
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Published on: May 27, 2008

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基于深度学习的时空融合用于高准确度超高速X射线放射学

Songyuan Tang1, Tekin Bicer1, Tao Sun2

  • 1Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA.

Journal of synchrotron radiation
|February 12, 2025
PubMed
概括

这项研究引入了一个深度学习框架来融合X射线图像序列,增强超高速 (UHS) X射线成像的空间分辨率和率. 该方法显著提高了图像质量和动态过程表征的科学价值.

关键词:
在X射线成像中使用X射线成像.深度学习是一种深度学习.全场X射线放射学全场X射线放射学高速成像技术的使用.时间和空间的融合.

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