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Updated: Jul 25, 2025

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在X射线图像中检测IC电线结合缺陷的轻量级方法

Daohua Zhan1,2, Jian Lin1,2, Xiuding Yang1,2

  • 1State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangzhou 510006, China.

Micromachines
|June 28, 2023
PubMed
概括

一个新的卷积神经网络 (CNN) 框架与空间卷积注意力 (SCA) 模块改善了集成电路 (IC) 电线粘合缺陷的检测. 轻量级的轻量级移动网络 (LMNet) 提供高精度的高效性能.

关键词:
一些X射线图像.卷积神经网络是一种卷积神经网络.轻量级网络轻量级的网络.电线粘合缺陷 电线粘合缺陷

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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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