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

Objectives: 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.Methods: This single-center retrospective stud...

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Publicado en:	European Radiology Vol. 31; no. 6; pp. 3805 - 3815
Autores principales:	Hectors, Stefanie J., Kennedy, Paul, Huang, Kuang-Han, Stocker, Daniel, Carbonell, Guillermo, Greenspan, Hayit, Friedman, Scott, Taouli, Bachir
Formato:	research tables/charts Journal Article
Publicado:	Springer Nature Jun2021
Acceso en línea:	Ver este registro en EBSCOhost