FLAIR2 improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images

FLAIR2 improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images

Background: Accurate segmentation of MS lesions on MRI is difficult and, if performed manually, time consuming. Automatic segmentations rely strongly on the image contrast and signal-to-noise ratio. Literature examining segmentation tool performances in real-world multi-site data acquisition setting...

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Bibliographic Details
Main Authors: M. Le, L.Y.W. Tang, E. Hernández-Torres, M. Jarrett, T. Brosch, L. Metz, D.K.B. Li, A. Traboulsee, R.C. Tam, A. Rauscher, V. Wiggermann
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:NeuroImage: Clinical
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158219302682

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http://www.sciencedirect.com/science/article/pii/S2213158219302682

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