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1.Objective and Methods:The fetal thigh soft tissue thickness(FTSTT),biparietal diameter(BPD),abdominal circumference(AC)and femur length(FL)were measured by ultrasonography on 100 pregnant women a weed before the expected date of confinement. Their Correlations with birth weight of newborns were computerized.
目的与方法:应用超声对100例正常孕妇在分娩前一周内测量胎儿股骨皮下组织厚度(FTSTT)双顶径(BPD)腹围(AC)股骨长度(FL),并与新生儿出生体重的关系进行分析。收藏指正
2.Methods Fetal biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), femur length (FL) and fetal thigh soft tissue thickness (FTSTT) were measured by ultrasonography and analyzed with neonatal birth weight in 178 cases.
方法应用B型超声对178例胎儿的双顶径、头围、腹围、股骨长、股骨皮下组织厚度进行测量并与新生儿出生体重的关系进行分析。收藏指正
3.Methods: Fetal biparietal diameter(BPD), head circumference(HC), abdominal circumference(AC), femur length(FL), fetal thigh soft tissue thickness(FTSTT), fetal liver length(FLL) and fetal liver area(FLA) were measured by ultrasonography and analyzed with neonatal birth weight in 360 cases.
方法 :应用B型超声测量 36 0例足月妊娠胎儿的双顶径、头围、腹围、股骨长度、股骨皮下组织厚度、肝脏长度和肝脏面积 ,并分析各预测指标与新生儿出生体重的关系及用于预测巨大儿的敏感性和特异性。收藏指正
4.In this study, we used the back propagation neural network (BP) to estimate Fetal Weight. Some input variables were adopted in constructing the BP model: biparietal diameter(BPD), cerebellum transverse diameter(TCD), abdominal circumference (AC), liver length(LL), femur length(FL), fetal thigh soft tissue thickness(FSTT), and gestational age(GA).
本研究采用反向传播(BP)人工神经网络方法预测胎儿体重,实验中采用双顶径、小脑横径、腹围、肝脏长度、股骨长度、股骨皮下脂肪厚度、孕龄等参数作为BP神经网络的输入参数,网络由输入层、隐含层和输出层三部分组成。收藏指正
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