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Logistic Regression Application to Image Reconstruction in UST

机译:Logistic回归应用于UST中的图像重建

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The problem of image reconstruction in ultrasonic tomography (UST) consists in both performing measurements using a set of sensors and creating of reconstruction based on these measurements. The image reconstruction requires accurate modeling of area, which presents field of view. To determine the inclusion in analyzed area the logistic regression has been applied. Additionally to select the predictors in logistic regression the elasticnet method has been used.
机译:超声波断层摄影(UST)中的图像重建问题包括使用一组传感器和基于这些测量的重建来执行测量。图像重建需要准确的区域建模,这提出了视野。为了确定分析区域的夹杂区域已应用逻辑回归。另外要选择Logistic回归中的预测器,已使用弹性网方法。

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