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Updated: Jun 13, 2025

Author Spotlight: Enhancing Rheumatoid Arthritis Research Through HR-pQCT Imaging Analysis
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Author Spotlight: Enhancing Rheumatoid Arthritis Research Through HR-pQCT Imaging Analysis

Published on: October 6, 2023

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RA-XTNet:一种新的CNN模型,从手部放射和热图像中预测类风湿关节炎:与CNN变压器和量子计算进行比较

Ahalya R Kesavapillai1,2, Shabnam M Aslam3, Snekhalatha Umapathy1

  • 1Department of Biomedical Engineering, SRM Institute of Science and Technology, College of Engineering and Technology, Chennai 603203, India.

Diagnostics (Basel, Switzerland)
|September 14, 2024
PubMed
概括

这项研究引入了人工智能和量子计算系统,用于使用手部X射线和热图进行类风湿性关节炎 (RA) 诊断. RA-XTNet模型实现了高精度,提供了快速有效的自动诊断方法.

关键词:
联合国网络++++ 在线卷积神经网络是一种卷积神经网络.类风湿性关节炎 类风湿性关节炎变压器 变压器 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...
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