FLAIR(2) 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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Detalles Bibliográficos
Autores principales: Le, M., Tang, L.Y.W., Hernández-Torres, E., Jarrett, M., Brosch, T., Metz, L., Li, D.K.B., Traboulsee, A., Tam, R.C., Rauscher, A., Wiggermann, V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646743/
https://www.ncbi.nlm.nih.gov/pubmed/31491827
http://dx.doi.org/10.1016/j.nicl.2019.101918

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646743/
https://www.ncbi.nlm.nih.gov/pubmed/31491827
http://dx.doi.org/10.1016/j.nicl.2019.101918

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