Method for detecting defects in semiconductor device

    公开(公告)号:US11507801B2

    公开(公告)日:2022-11-22

    申请号:US16505155

    申请日:2019-07-08

    Abstract: A method for detecting defects in a semiconductor device includes pre-training a pre-trained convolutional neural network (CNN) model using a sampled clean data set extracted from a first data set; training a normal convolutional neural network model and a label-noise convolutional neural network model using first data of the first data set and the pre-trained convolutional neural network model. The method also includes outputting a first prediction result on whether second data of a second data set is good or bad using the second data and the normal convolutional neural network model; and outputting a second prediction result on whether second data is good or bad using the second data and the label-noise convolutional neural network model. The first prediction result is compared with the second prediction result to perform noise correction when there is a label difference. Third data created as results of the noise correction is added to the sampled clean data set. The normal convolutional neural network model and the label-noise convolutional neural network model are additionally using the sampled clean data set with the third data added.

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