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基于X射线图像的实时COVID-19诊断使用深度神经网络 (CXR-DNNs)

Ali Yousuf Khan1, Miguel-Angel Luque-Nieto2, Muhammad Imran Saleem3

  • 1Telecommunications Engineering School, University of Malaga, 29010 Malaga, Spain.

Journal of imaging
|December 27, 2024
PubMed
概括

这项研究开发了一种使用胸部X射线检测COVID-19感染的AI工具. 新方法的准确性达到了95%,改善了现有技术,以更快,更可靠地进行诊断.

关键词:
在这里,我们可以看到COVID COVID COVID.胸部X射线图像 胸部X射线图像深度学习是一种深度学习.图像的分类图像的分类.肺部感染 肺部感染视觉变压器 视觉变压器

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相关概念视频

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 X-rays, and by 1900, X-ray was widely...