… alternative to liver biopsy. This article discusses the need for noninvasive assessment of
liver fibrosis and reviews the comparative advantages and limitations of ultrasound and …

… To propose a transfer learning (TL) radiomics model that efficiently combines the information
from gray scale and elastogram ultrasound images for accurate liver fibrosis grading. …

… To fully capture liver fibrosis texture of ultrasound images, we introduce the deep learning-based
diagnostic approach MSTNet, shown in Figure 1 and Table 1 that consists of image …

… In this context, this paper extracts the characteristic parameters of liver fibrosis ultrasound
images and then uses neural network to evaluate the degree of liver fibrosis and completes the …

… classifying liver fibrosis stage ≥F2 based on ultrasound shear … each of eight or more SWE
images, computing the mean tissue … The 527-subject database consisted of 5526 SWE images …

… liver by excluding large vessels and ducts using 3d-slicer. For the preparation input of our
neural network, the ultrasound images … to the pre-delineated ROI that included just liver pixels. …

… backscatter envelope statistics parametric imaging techniques for assessing liver fibrosis …
liver fibrosis assessment by ultrasound backscatter envelope statistics parametric imaging. …

… in the analysis of ultrasound images of liver fibrosis and may eliminate … imaging and
diagnosis methods of liver fibrosis have been included, namely liver ultrasound, CT, MRI, and liver …

… liver stiffness Uses ultrasound images to measure liver stiffness Uses ultrasound images with
… the liver from an acoustic wave generator and measure stiffness value in kilopascals (kPa) …

… liver fibrosis without significant hepatic steatosis. This study proposed using ultrasound
parametric imaging … for staging liver fibrosis in patients with significant hepatic steatosis. Raw …