Pattern recognition of carotid artery diseases using pulsed Doppler ultrasound

F. M. Greene, K. Beach, D. Phillips, J. Primozich, D. Strandness
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Abstract

Computer pattern recognition of carotid artery atherosclerosis has been implemented in dedicated systems. Accuracy is equivalent to that of an expert sonographer and is repeatable for different sonographers. The system uses algorithms which were systematically trained from a database of 318 cases having arteriographic confirmation, plus 88 asymptomatic normals. A software language was implemented to aid in maintaining the system.<>
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脉冲多普勒超声对颈动脉疾病的模式识别
颈动脉粥样硬化的计算机模式识别已在专用系统中实现。准确度相当于专家超声仪,并可重复不同的超声仪。该系统使用的算法是从318例动脉造影确认病例和88例无症状正常人的数据库中系统训练出来的。实现了一种软件语言来帮助维护系统。
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