首页> 外国专利> Apparatus for distinguishing diagnostic images using artificial neural networks, method thereof and computer recordable medium storing program to perform the method

Apparatus for distinguishing diagnostic images using artificial neural networks, method thereof and computer recordable medium storing program to perform the method

机译:用于利用人工神经网络区分诊断图像的装置,其方法和计算机可记录介质存储程序以执行该方法

摘要

An apparatus for classifying diagnostic images using an artificial neural network according to an embodiment of the present invention includes an artificial neural network composed of a plurality of layers including a plurality of operations to which each weight is applied, and a diagnostic image in which the left and right sides of the body in the image are unknown. When this is input, a preprocessing unit for generating a source image by merging an original diagnosis image and a processed copy of the pixel value of the diagnosis image, and the diagnosis from the output value of the artificial neural network by inputting the source image to the artificial neural network. And a determination unit that determines whether the left and right sides of the body in the image are in a non-inverted normal state or an inverted abnormal state.
机译:根据本发明的实施例的用于使用人工神经网络进行分类诊断图像的装置包括由多个层组成的人工神经网络,包括施加每种重量的多个操作,以及左侧的诊断图像身体在图像中的右侧是未知的。当输入时,通过利用诊断图像的像素值的处理和处理的副本来生成源图像的预处理单元,以及通过将源图像输入源图像来从人工神经网络的输出值诊断人工神经网络。和确定图像中主体的左侧和右侧是否处于非反向正常状态或反相异常状态的确定单元。

著录项

  • 公开/公告号KR20210047489A

    专利类型

  • 公开/公告日2021-04-30

    原文格式PDF

  • 申请/专利权人 연세대학교 산학협력단;

    申请/专利号KR1020190131146

  • 发明设计人 이영한;양재문;

    申请日2019-10-22

  • 分类号A61B6;G06N3/04;G06N3/08;G16H30/40;G16H50/20;

  • 国家 KR

  • 入库时间 2022-08-24 18:31:18

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