[Challenges of automation in quantitative evaluation of liver biopsies : Automatic quantification of liver steatosis].

ABSTRACT:

Background

Metabolic dysfunction-associated steatotic liver disease (MASLD), or non-alcoholic fatty liver disease (NAFLD), is a common disease that is diagnosed through manual evaluation of liver biopsies, an assessment that is subject to high interobserver variability (IBV). IBV can be reduced using automated methods.

Objectives

Many existing computer-based methods do not accurately reflect what pathologists evaluate in practice. The goal is to demonstrate how these differences impact the prediction of hepatic steatosis. Additionally, IBV complicates algorithm validation.

Materials and methods

Forty tissue sections were analyzed to detect steatosis, nuclei, and fibrosis. Data generated from automated image processing were used to predict steatosis grades. To investig

SUBMITTER: Darling J 

PROVIDER: S-EPMC10901975 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature