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3 METHOD AND APPARATUS FOR DETECTING LANDMARKS FROM MEDICAL 3D VOLUME IMAGE BASED ON DEEP LEARNING

机译:3基于深度学习的医学3D卷图像检测地标的方法和装置

摘要

A method for automatically detecting feature points of 3D medical image data using deep learning includes receiving a 3D volumetric medical image, generating a 2D brightness value projection image based on the 3D volumetric medical image, and the 2D brightness value Based on the projection image, automatically detecting an initial anatomical feature point using a first convolutional neural network, generating a three-dimensional volume of interest region based on the initial anatomical feature point, and generating the three-dimensional volume of interest region and automatically detecting detailed anatomical feature points based on a second convolutional neural network different from the first convolutional neural network.
机译:一种用于自动检测3D医学图像数据的特征点的方法,包括深度学习包括接收3D容量医学图像,基于3D容量验证图像产生2D亮度值投影图像,以及基于投影图像自动地产生2D亮度值 使用第一卷积神经网络检测初始解剖特征点,基于初始解剖特征点生成三维兴趣区域,并产生基于a的三维兴趣区的三维体积和自动检测详细的解剖特征点 第二卷积神经网络与第一卷积神经网络不同。

著录项

  • 公开/公告号KR20210146857A

    专利类型

  • 公开/公告日2021-12-06

    原文格式PDF

  • 申请/专利权人 이마고웍스 주식회사;

    申请/专利号KR20210162432

  • 发明设计人 김영준;김한나;

    申请日2021-11-23

  • 分类号A61B6;A61B6/14;G06N3/04;G06T15/08;G06T7;G16H30/40;G16H50/20;

  • 国家 KR

  • 入库时间 2022-08-24 22:38:08

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