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Artificial Intelligence-Based Ischemic Stroke Detection and Form Classification Method

机译:基于人工智能的缺血性卒中检测和形成分类方法

摘要

A medical image-based ischemic stroke detection and morphology classification method according to an aspect of the present invention includes: a first step of collecting, by an acquisition unit, an image related to at least one patient's brain; a second step of determining, by a detector, whether the at least one patient is a large vessel occlusion patient based on the collected images; a third step of determining, by a determination unit, whether the form of cerebral blood vessel occlusion is Embolism or ICAS (Intracranial Atherosclerosis, cerebral atherosclerosis) when the at least one patient is a cerebral blood vessel occlusion patient; and a fourth step in which the diagnosis unit provides treatment direction information that is differently applied according to the determined type of cerebral blood vessel occlusion.
机译:根据本发明的一个方面的医学图像的缺血性冲程检测和形态分类方法包括:通过获取单元收集与至少一个患者的大脑相关的图像的第一步骤; 通过检测器确定至少一个患者是否是基于收集的图像的大容器闭塞患者的第二步骤; 确定单元的第三步骤确定脑血管闭塞是否是栓塞或ICAS(颅内动脉粥样硬化,脑动脉粥样硬化),当至少一个患者是脑血管闭塞患者时; 并且,诊断单元提供根据确定的脑血管闭塞类型不同地施用的治疗方向信息的第四步。

著录项

  • 公开/公告号KR102315608B1

    专利类型

  • 公开/公告日2021-10-22

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020210103509

  • 申请日2021-08-05

  • 分类号G16H30/40;A61B6;G06N3/08;G16H30/20;G16H50/20;

  • 国家 KR

  • 入库时间 2022-08-24 21:52:18

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