Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid–enhanced MRI

Volume: 31, Issue: 6, Pages: 3805 - 3814
Published: Nov 17, 2020
Abstract
To (1) develop a fully automated deep learning (DL) algorithm based on gadoxetic acid–enhanced hepatobiliary phase (HBP) MRI and (2) compare the diagnostic performance of DL vs. MR elastography (MRE) for noninvasive staging of liver fibrosis. This single-center retrospective study included 355 patients (M/F 238/117, mean age 60 years; training, n = 178; validation, n = 123; test, n = 54) who underwent gadoxetic acid–enhanced abdominal MRI,...
Paper Details
Title
Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid–enhanced MRI
Published Date
Nov 17, 2020
Volume
31
Issue
6
Pages
3805 - 3814
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