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Updated: May 9, 2025

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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深度学习错位的双能量胸部X射线图像使用配对循环一致的生成对抗网络

Yasuyuki Ueda1, Misato Niu2, Riko Shimazaki2

  • 1Division of Health Sciences, Graduate School of Medicine, The University of Osaka, 1 - 7 Yamadaoka, Suita, Osaka, 565 - 0871, Japan. ueda.y.sahs.med@osaka-u.ac.jp.

Journal of imaging informatics in medicine
|May 5, 2025
PubMed
概括

这项研究引入了一种新的AI框架,通过删除运动工件和噪音来增强双能量减去胸部X射线图像. 这种新方法显著提高了图像质量,使得医疗诊断更加清晰.

关键词:
胸部X射线 胸部X射线循环一致的生成对抗网络.深度学习是一种深度学习.减去双能量的减去.生成性的对抗性网络.运动文物 运动文物

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X-ray Imaging01:24

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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