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Remarkably, this new methodology performs best for thick, highly absorbing samples where traditional spectrophotometry is most challenging and unreliable, offering a promising alternative for quantification of the absorption properties of a range of diverse liquid, and gelatinous-state materials not amenable to conventional methods.In this paper, two novel deep learning methods are proposed for displacement estimation in ultrasound elastography. Although Convolutional Neural Networks (CNN) have been very successful for displacement esti
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