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19 METHOD AND APPARATUS FOR DIAGNOSING COVID-19 USING ARTIFICIAL NEURAL NETWORK

机译:19使用人工神经网络诊断Covid-19的方法和装置

摘要

A method and apparatus for diagnosing COVID-19 using an artificial neural network are provided. In an embodiment of the present invention, the method for diagnosing COVID-19 includes performing learning of a first neural network including a first feature extraction layer and a lung anomaly classification layer, and a second neural network based on the learned first feature extraction layer. Performing transfer learning of the included second feature extraction layer Generating a synthetic Corona 19 chest image based on the Corona 19 chest image Inputs the target chest image to the second neural network, and based on the output data of the second neural network and estimating whether or not the target chest image is infected with COVID-19.
机译:提供了一种用于使用人工神经网络诊断Covid-19的方法和装置。 在本发明的一个实施例中,用于诊断CoVID-19的方法包括执行包括第一特征提取层和肺异常分类层的第一神经网络的学习,以及基于所学的第一特征提取层的第二神经网络。 执行转移学习包括的第二特征提取层产生基于电晕19胸部图像的合成电晕19胸部图像将目标胸部图像输入到第二神经网络,并基于第二神经网络的输出数据,并估计是否或 不是目标胸部图像被Covid-19感染。

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