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Updated: Jun 2, 2025

Hybrid µCT-FMT imaging and image analysis
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一个基于双平面X射线放射图像的新型混合深度学习框架,用于骨密度预测和分类

Kun Zhou1, Yuqi Zhu2, Xiao Luo1

  • 1Academy for Engineering and Technology, Fudan University, Shanghai, China.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA
|January 15, 2025
PubMed
概括

深度学习模型使用双平面X射线放射 (BPX) 图像准确预测骨矿物质密度 (BMD). 这种自动化工具有助于骨质疏松症查,减少辐射暴露和成本.

关键词:
人工智能的人工智能是人工智能.根据BMD的分类,BMD的分类.图片来源:BPX 图片来源:BPX 图片来源:BPX深度学习是一种深度学习.骨质疏松症查 骨质疏松症查

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X-ray Imaging01:24

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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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