Predictive modeling in medicine involves the development of computational models which
are capable of analysing large amounts of data in order to predict healthcare outcomes for …

In shear wave absolute vibro-elastography (S-WAVE), a steady-state multi-frequency
external mechanical excitation is applied to tissue, while a time-series of ultrasound radio …

Objectives To develop a machine learning model based on quantitative ultrasound (QUS)
parameters to improve classification of steatohepatitis with shear wave elastography in rats …

PCa is a disease with a wide range of tissue patterns and this adds to its classification
difficulty. Moreover, the data source heterogeneity, ie inconsistent data collected using …

This article describes a novel system for quantitative and volumetric measurement of tissue
elasticity in the prostate using simultaneous multi-frequency tissue excitation. Elasticity is …

Objective The perineal body must undergo a remarkable transformation during pregnancy to
accommodate an estimated stretch ratio of over 3.3 in order to permit vaginal delivery of the …

Quantitative ultrasound (QUS) imaging is a safe, reliable, inexpensive, and real‐time
technique to extract physically descriptive parameters for assessing pathologies. Compared …

Quantitative tissue stiffness characterization using ultrasound (US) has been shown to
improve prostate cancer (PCa) detection in multiple studies. Shear wave absolute vibro …

In recent years, non-invasive measurement of tissue stiffness (hardness) using ultrasound
elastography has attracted considerable attention. It has been used to evaluate muscle …

Biomedical parameters of tissue can be important indicators for clinical diagnosis. One such
parameter that reflects tissue stiffness is elasticity, the imaging of which is called …