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CONVOLUTIONAL NEURAL NETWORK BASED BREAST IMAGE ANALYSIS METHOD USING FOUR-CHANNEL INPUTS AND SYSTEM THEREFOR

机译:基于卷积神经网络的乳房图像分析方法,使用四通道输入和系统

摘要

The present invention relates to a breast image analysis method with four mammogram images which are input to a convolutional neural network as one input and a system therefor and the system includes an image receiving unit which receives four mammogram images; an image size adjusting unit which adjusts a size of a mammogram image received from the image receiving unit; a preprocessing unit which performs preprocessing on the mammogram image adjusted by the image size adjusting unit; a convolutional neural network (CNN)-based CNN learning unit which generates learning information by learning the mammogram image preprocessed by the preprocessing unit; and a CNN inference unit which receives the learning information learned from the CNN learning unit and a mammogram image to be classified from the image receiving unit to diagnose a breast abnormality.
机译:本发明涉及一种具有四个乳房图图像的乳房图像分析方法,其作为一个输入和系统输入到卷积神经网络,并且该系统包括接收四个乳房图图像的图像接收单元; 图像尺寸调节单元,其调节从图像接收单元接收的乳房X线图图像的尺寸; 一种预处理单元,其在由图像尺寸调节单元调整的乳房图图像上执行预处理; 基于CNN学习单元的卷积神经网络(CNN),通过学习被预处理单元预处理的乳房X光图像来生成学习信息; 和CNN推理单元接收从CNN学习单元学习的学习信息和乳房X线图像图像,以便从图像接收单元分类以诊断乳房异常。

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