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CONVOLUTIONAL DEEP LEARNING ANALYSIS OF TEMPORAL CARDIAC IMAGES
专利权人:
KONINKLIJKE PHILIPS N.V.
发明人:
Arkadiusz Sitek
申请号:
US15978981
公开号:
US20180333104A1
申请日:
2018.05.14
申请国别(地区):
US
年份:
2018
代理人:
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.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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