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DETECTING DEFECTS IN SEMICONDUCTOR SPECIMENS USING WEAK LABELING

机译:使用弱标记检测半导体样本中的缺陷

摘要

A system for classifying a pattern of interest (POI) on a semiconductor specimen, the system comprising a processor and a memory circuit, the processor and memory circuit being used to acquire a high-resolution image of the POI and classifying the POI according to a defect-related classification Constructed to generate possible data, generating utilizing a machine learning model trained according to training samples, the training samples being a high-resolution training image captured by scanning an individual training pattern on a specimen - an individual training pattern Similar to a POI—and it includes a label associated with the image, the label derived from a low-resolution survey of an individual training pattern.
机译:用于对半导体样本的感兴趣模式(POI)进行分类的系统,该系统包括处理器和存储器电路,处理器和存储器电路用于获取POI的高分辨率图像并根据a进行分类POI 缺陷相关的分类以产生可能的数据,利用根据训练样本培训的机器学习模型产生,训练样本是通过扫描样本上的单独训练模式捕获的高分辨率训练图像 - 类似于a的单独训练模式 POI和它包括与图像相关联的标签,该标签从单个训练模式的低分辨率调查导出。

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