… conventional B-mode ultrasound for breast cancer screening. … the inception of machine
learning, such as deep learning, has … of the machine learning model to ultrasound elastography …

… to develop a combined QUS and elastography-based model to … elastography alone, using
histopathology as the reference standard. We privileged the random forests machine learning …

… Shear wave elastography ultrasound fitting machine learning could improve the diagnostic
performance of traditional kidney ultrasound in predicting kidney tubulointerstitial fibrosis …

… Abstract—Ultrasound elastography aims to determine the … Tissue deformations are estimated
from ultrasound radio … in quasi-static elastography by performing principal component …

… features could achieve higher classification performance than conventional machine learning
approaches with 93.4% accuracy, 88.6% sensitivity, and 97.1% specificity. The continued …

… for machine learning (ML… ultrasound elastography shear wave velocity (USE SWV)
measurements obtained using Siemens and Philips scanners, with magnetic resonance …

The purpose of the present study was to employ a computer-aided diagnosis system that
classifies chronic liver disease (CLD) using ultrasound shear wave elastography (SWE) …

… , we focus on the use of machine learning (ML) in US. … elastography is a relatively new
imaging technique of which there are two main types in current clinical use: (1) strain elastography…

… on elastography ultrasound (US) radiomic features, this study seeks to create and validate
six distinct machine learning … This study employed routine US strain elastography image data …

… of combined ultrasound and ultrasound elastography … ultrasound elastography are obtained
using two different matching materials (oil and gel) between the transducer of an ultrasound …