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Polyp diagnostic method, device and computer program from endoscopy image using deep learning

机译:使用深度学习从内窥镜检查图像中的息肉诊断方法,设备和计算机程序

摘要

The present invention relates to a method, apparatus and program for diagnosing polyps from an endoscopic image using deep learning learning, the method comprising: receiving, by an image acquisition unit, an image taken from the large intestine inside the human body; outputting, by an image preprocessing unit, a pseudo-narrowband endoscopic image from the received image; and detecting, by a polyp detection unit, the presence or absence of a polyp and location information of the polyp in the pseudo-narrow-band endoscopic image by using a deep learning model with respect to the pseudo-narrow-band endoscopic image.
机译:本发明涉及一种用于使用深度学习学习从内窥镜图像诊断息肉的方法,装置和程序,该方法包括:通过图像获取单元接收从人体内的大肠道拍摄的图像;通过图像预处理单元输出来自接收图像的伪窄带内窥镜图像;通过使用关于伪窄带内窥镜图像的深度学习模型,通过息差检测单元,通过息肉检测单元,息肉和息肉的位置和位置信息的存在或不存在。

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