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APPARATUS AND METHOD FOR DIAGNOSING GASTRIC LESION USING DEEP LEARNING OF ENDOSCOPIC IMAGES

机译:利用内镜图像深度学习诊断胃部病变的装置和方法

摘要

The present invention relates to a method for diagnosing a gastric lesion in an endoscopic image. The method for diagnosing a gastric lesion in an endoscopic image comprises the steps of: obtaining a plurality of gastric lesion images; generating a data set by linking the plurality of gastric lesion images and patient information; pre-processing the data set to be applicable to a deep learning algorithm; and constructing an artificial neural network through learning to make the data set which has undergone the pre-processing as the input, and make an item regarding the gastric lesion diagnosis result as the output.
机译:本发明涉及一种用于在内窥镜图像中诊断胃部病变的方法。用于在内窥镜图像中诊断胃部病变的方法包括以下步骤:获得多个胃部病变图像;以及获得多个胃部病变图像。通过链接多个胃部病变图像和患者信息来产生数据集;预处理数据集以适用于深度学习算法;通过学习将经过预处理的数据集作为输入,并建立与胃病诊断结果有关的项目作为人工神经网络。

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