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DEVICE AND METHOD FOR DIAGNOSING GASTRIC LESION THROUGH DEEP LEARNING OF GASTROENDOSCOPIC IMAGES

机译:通过深入学习胃肠内窥镜图像来诊断胃损病变的装置和方法

摘要

A method for diagnosing a gastric lesion from endoscopic images is provided. The method comprises: acquiring a plurality of gastric lesion images; generating a dataset by linking the plurality of gastric lesion images with patient information; preprocessing the dataset in a way that is applicable to a deep learning algorithm; and building an artificial neural network by training the artificial neural network by using the preprocessed dataset as input and gastric lesion classification results as output.
机译:提供了一种从内窥镜图像诊断胃损病的方法。 该方法包括:获取多种胃病变图像; 通过将多个胃病变图像与患者信息链接来生成数据集; 以适用于深度学习算法的方式预处理数据集; 通过使用预处理的数据集作为输入和胃病变分类结果训练人工神经网络来构建人工神经网络作为输出。

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