AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosis

AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosis

Abstract Background Contrast-enhancing (CE) lesions are an important finding on brain magnetic resonance imaging (MRI) in patients with multiple sclerosis (MS) but can be missed easily. Automated solutions for reliable CE lesion detection are emerging; however, independent validation of artificial i...

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Bibliographic Details
Main Authors: Sarah Schlaeger, Suprosanna Shit, Paul Eichinger, Marco Hamann, Roland Opfer, Julia Krüger, Michael Dieckmeyer, Simon Schön, Mark Mühlau, Claus Zimmer, Jan S. Kirschke, Benedikt Wiestler, Dennis M. Hedderich
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:Insights into Imaging
Subjects:
Magnetic resonance imaging
Multiple sclerosis
Contrast-enhancing lesions
Artificial intelligence
Clinical decision support
Online Access:https://doi.org/10.1186/s13244-023-01460-3

Internet

https://doi.org/10.1186/s13244-023-01460-3

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