Consensus of algorithms for lesion segmentation in brain MRI studies of multiple sclerosis

Consensus of algorithms for lesion segmentation in brain MRI studies of multiple sclerosis

Abstract Segmentation of multiple sclerosis (MS) lesions on brain MRI scans is crucial for diagnosis, disease and treatment monitoring but is a time-consuming task. Despite several automated algorithms have been proposed, there is still no consensus on the most effective method. Here, we applied a c...

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Bibliographic Details
Main Authors: Alessandro Pasquale De Rosa, Marco Benedetto, Stefano Tagliaferri, Francesco Bardozzo, Alessandro D’Ambrosio, Alvino Bisecco, Antonio Gallo, Mario Cirillo, Roberto Tagliaferri, Fabrizio Esposito
Format: Article
Language:English
Published: Nature Portfolio 2024-09-01
Series:Scientific Reports
Subjects:
Multiple sclerosis
Lesion segmentation
Consensus
MRI
Label fusion
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-72649-9

Internet

https://doi.org/10.1038/s41598-024-72649-9

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