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Logistic Regression Application to Image Reconstruction in UST

机译:Logistic回归在UST图像重建中的应用

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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:超声层析成像(UST)中图像重建的问题在于,既要使用一组传感器执行测量,又要基于这些测量来创建重建。图像重建需要对区域进行精确建模,从而呈现出视野。为了确定分析区域中的包含物,已应用逻辑回归。另外,为了选择逻辑回归中的预测变量,还使用了Elasticnet方法。

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