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Devices and methods for diagnosing gastric lesions using deep learning of gastroscopy images

机译:利用深胃镜图像深入学习诊断胃病变的装置和方法

摘要

It is related to the method of diagnosing a gastric lesion with an endoscopic image, and the method of diagnosing a gastric lesion with an endoscopic image includes a step of acquiring multiple gastric lesion images and a step of acquiring multiple gastric lesion images. A step of linking the plurality of gastric lesion images and patient information to generate a data set, a step of preprocessing the data set so as to be applicable to a deep learning algorithm, and a step of preprocessing the data set. It can include a step of constructing an artificial neural network through learning that takes as input and outputs items related to gastric lesion classification results. [Selection diagram] Fig. 1
机译:它与诊断具有内窥镜图像的胃损病变的方法有关,并且诊断具有内窥镜图像的胃损病变的方法包括获取多种胃病变图像的步骤和获取多个胃病变图像的步骤。 将多个胃损具图像和患者信息链接到生成数据集的步骤,是预处理数据集的步骤,以便适用于深度学习算法,以及预处理数据集的步骤。 它可以包括通过学习构建人工神经网络的步骤,其作为输入和输出与胃损病变分类结果相关的物品。 [选择图]图1

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