应用超声影像技术预测胎儿体重的综述  

Estimation of fetal weight by ultrasonic photography

作　　者：李亚东[1] 张虎军[1] 吴向阳[1] 黄晓明[1] 张方林[1] 吴君[2] 汪天富[2] 

机构地区：[1]成都军区总医院,成都市610083 [2]四川大学生物医学工程中心,成都市610064

出　　处：《医疗卫生装备》2004年第12期29-31,共3页Chinese Medical Equipment Journal

摘　　要：随着超声影像技术的发展,超声检查成为预测胎儿体重的重要手段。国内外学者用多元回归的方法提出了许多图表和公式。人工神经网络是以神经的结构和生理为基础模拟人类思维的计算机人工智能技术。对复杂的、非线性信息处理有其独特的优势。在预测胎儿体重这一领域,人工神经网络的方法比传统的回归分析法有着更大的优势。Ultrasonic estimation of fetal weight is important in the management o f labor and delivery. Lots of charts and formulas have been put forward in virtu e of regression methods. Artificial neural network, a kind of computer artificia l intelligence technology, can simulate human thinking based on neural structure and physiology. With the excellence in complex and non-linear information proce ssing, artificial neural network is fitter for the forecasting of fetal weight t han traditional regression methods.

关 键 词：超声 影像 胎儿体重 人工神经网络 

分 类 号：TH772[机械工程—仪器科学与技术]