Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies

Volume: 100, Issue: 10, Pages: 1367 - 1383
Published: Oct 1, 2020
Abstract
Hepatic steatosis droplet quantification with histology biopsies has high clinical significance for risk stratification and management of patients with fatty liver diseases and in the decision to use donor livers for transplantation. However, pathology reviewing processes, when conducted manually, are subject to a high inter- and intra-reader variability, due to the overwhelmingly large number and significantly varying appearance of steatosis...
Paper Details
Title
Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies
Published Date
Oct 1, 2020
Volume
100
Issue
10
Pages
1367 - 1383
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.