Image Processing Pipeline for Liver Fibrosis Classification Using Ultrasound Shear Wave Elastography.

ABSTRACT: The purpose of this study was to develop an automated method for classifying liver fibrosis stage ≥F2 based on ultrasound shear wave elastography (SWE) and to assess the system's performance in comparison with a reference manual approach. The reference approach consists of manually selecting a region of interest from each of eight or more SWE images, computing the mean tissue stiffness within each of the regions of interest and computing a resulting stiffness value as the median of the means. The 527-subject database consisted of 5526 SWE images and pathologist-scored biopsies, with data collected from a single system at a single site. The automated method integrates three modules that assess SWE image quality, select a region of interest from each SWE measurement and perform machine learn

SUBMITTER: Brattain LJ 

PROVIDER: S-EPMC7483774 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature