Automated CT LI-RADS v2018 scoring of liver observations using machine learning: A multivendor, multicentre retrospective study

Automated CT LI-RADS v2018 scoring of liver observations using machine learning: A multivendor, multicentre retrospective study

Background & Aims: Assessment of computed tomography (CT)/magnetic resonance imaging Liver Imaging Reporting and Data System (LI-RADS) v2018 major features leads to substantial inter-reader variability and potential decrease in hepatocellular carcinoma diagnostic accuracy. We assessed the pe...

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Bibliographic Details
Main Authors: Sébastien Mulé, Maxime Ronot, Mario Ghosn, Riccardo Sartoris, Giuseppe Corrias, Edouard Reizine, Vincent Morard, Ronan Quelever, Laura Dumont, Jorge Hernandez Londono, Nicolas Coustaud, Valérie Vilgrain, Alain Luciani
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:JHEP Reports
Subjects:
Hepatocellular carcinoma
LI-RADS
Major features
Computed tomography
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S258955592300188X

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http://www.sciencedirect.com/science/article/pii/S258955592300188X

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