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METHOD FOR FILTERING LEARNING NOISE OF MEDICAL IMAGE DATA FOR MACHINE LEARNING AND SYSTEM THEREOF

机译:机器学习医学图像数据学习噪声的过滤方法及系统

摘要

The present invention relates to a method capable of selectively filtering noise which interferes with machine learning according to a learning purpose and a system thereof. According to one embodiment of the present invention, the system for filtering the learning noise of the medical image data for machine learning can comprise: a learning noise definition part for receiving a definition of the learning noise according to the machine learning purpose; a filter generation part for generating a filter for filtering the learning noise; and a filtering part for removing the learning noise which interferes with the machine learning by using the generated filter.;COPYRIGHT KIPO 2020
机译:本发明涉及一种能够根据学习目的选择性地滤除干扰机器学习的噪声的方法及其系统。根据本发明的一个实施例,用于对医学图像数据的学习噪声进行过滤以进行机器学习的系统可以包括:学习噪声定义部分,用于根据机器学习目的接收学习噪声的定义;以及滤波器生成部,生成用于对学习噪声进行滤波的滤波器。 COPYRIGHT KIPO 2020;以及一个过滤部分,用于通过使用生成的过滤器消除干扰机器学习的学习噪声。

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