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Machine learning system for assessing heart valves and surrounding cardiovascular tracts
专利权人:
发明人:
Michael A. Singer
申请号:
US14680892
公开号:
US09424531B2
申请日:
2015.04.07
申请国别(地区):
US
年份:
2016
代理人:
摘要:
A machine learning system for evaluating at least one characteristic of a heart valve, an inflow tract, an outflow tract or a combination thereof may include a training mode and a production mode. The training mode may be configured to train a computer and construct a transformation function to predict an unknown anatomical characteristic and/or an unknown physiological characteristic of a heart valve, inflow tract and/or outflow tract, using a known anatomical characteristic and/or a known physiological characteristic the heart valve, inflow tract and/or outflow tract. The production mode may be configured to use the transformation function to predict the unknown anatomical characteristic and/or the unknown physiological characteristic of the heart valve, inflow tract and/or outflow tract, based on the known anatomical characteristic and/or the known physiological characteristic of the heart valve, inflow tract and/or outflow tract.
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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