首页> 外国专利> DEEP NEURAL NETWORK-BASED RETINAL IMAGE ANALYSIS METHOD AND APPARATUS FOR DETECTION OF ABNORMAL KIDNEY FUNCTION

DEEP NEURAL NETWORK-BASED RETINAL IMAGE ANALYSIS METHOD AND APPARATUS FOR DETECTION OF ABNORMAL KIDNEY FUNCTION

机译:基于深度神经网络的视网膜图像分析方法和装置检测异常肾功能

摘要

Proposed is a deep neural network-based retinal image analysis method and apparatus for detection of abnormal kidney function. A deep neural network-based retinal image analysis method, according to one embodiment, comprises the steps of: pre-processing a retinal image so as to detect abnormalities in kidney function by using the retinal image; learning whether there are abnormalities in kidney function through a deep neural network by using the pre-processed retinal image; and reporting whether there are abnormalities in kidney function by using the learned deep neural network. The method reports whether there are abnormalities in kidney function and provides report grounds, thereby being able to help a user make a decision.
机译:提出是一种基于深度神经网络的视网膜图像分析方法和用于检测异常肾功能的装置。 根据一个实施例的基于深神经网络的视网膜图像分析方法包括以下步骤:预处理视网膜图像,以便通过使用视网膜图像检测肾功能的异常; 通过使用预处理的视网膜图像学习通过深神经网络是否存在肾功能异常; 通过使用学习的深神经网络,报告是否存在肾功能异常。 该方法报告了肾功能异常并提供报告地,从而能够帮助用户做出决定。

著录项

  • 公开/公告号WO2021241830A1

    专利类型

  • 公开/公告日2021-12-02

    原文格式PDF

  • 申请/专利权人 SPIDERCORE INC.;

    申请/专利号WO2020KR19362

  • 申请日2020-12-30

  • 分类号A61B5/20;A61B5;A61B3;G16H50/20;G16H30/40;G16H50/30;G06N3/08;G06N3/04;

  • 国家 KR

  • 入库时间 2022-08-24 22:36:39

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