首页> 外国专利> CONVOLUTIONAL DEEP LEARNING ANALYSIS OF TEMPORAL CARDIAC IMAGES

CONVOLUTIONAL DEEP LEARNING ANALYSIS OF TEMPORAL CARDIAC IMAGES

机译:临时心脏图像的卷积深度学习分析

摘要

A convolutional neural cardiac diagnostic system employs an echocardiogram diagnostic controller for controlling a diagnosis of an echocardiogram including a temporal sequence of echocardiac cycles. The echocardiogram diagnostic controller includes a diagnostic periodic volume generator generating an echocardiogram diagnostic volume including a periodic stacking of the temporal sequence of echocardiac cycles, and further includes a diagnostic convolutional neural network classifying the echocardiogram as either a normal echocardiogram or an abnormal echocardiogram based on a convolutional neural analysis of the echocardiogram diagnostic volume. The diagnostic periodic volume generator may further generate an electrocardiogram diagnostic volume including a periodic stacking of the temporal sequence of electrocardiac waves, and the convolutional neural network may classify the echocardiogram as either a normal echocardiogram or an abnormal echocardiogram based on a convolutional neural analysis of both the echocardiogram diagnostic volume and the electrocardiogram diagnostic volume.
机译:卷积神经心脏诊断系统采用超声心动图诊断控制器来控制对超声心动图的诊断,包括超声心动周期的时间序列。超声心动图诊断控制器包括诊断周期性体积生成器,该诊断周期性体积产生器生成包括超声心动周期周期的时间序列的周期性叠加的超声心动图诊断体积,并且进一步包括诊断卷积神经网络,其基于超声心动图将超声心动图分类为正常超声心动图或异常超声心动图。卷积神经分析的超声心动图诊断量。诊断周期性体积发生器可以进一步生成心电图诊断体积,该心电图诊断体积包括心电波的时间序列的周期性堆叠,并且卷积神经网络可以基于两者的卷积神经分析将超声心动图分类为正常超声心动图或异常超声心动图。超声心动图诊断量和心电图诊断量。

著录项

  • 公开/公告号EP3625763A1

    专利类型

  • 公开/公告日2020-03-25

    原文格式PDF

  • 申请/专利权人 KONINKLIJKE PHILIPS N.V.;

    申请/专利号EP20180736798

  • 发明设计人 SITEK ARKADIUSZ;

    申请日2018-05-14

  • 分类号G06T7;

  • 国家 EP

  • 入库时间 2022-08-21 11:39:09

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