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Predicting Fazekas scores from automatic segmentations of white matter signal abnormalities

Journal article
Authors N. Cedres
D. Ferreira
A. Machado
S. Shams
Simona Sacuiu
Margda Waern
L. O. Wahlund
Anna Zettergren
Silke Kern
Ingmar Skoog
E. Westman
Published in Aging-Us
Volume 12
Issue 1
Pages 894-901
ISSN 1945-4589
Publication year 2020
Published at Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
Centre for Ageing and Health (Agecap)
Pages 894-901
Language en
Links dx.doi.org/10.18632/aging.102662
Keywords white matter, visual rating, hyperintensities, hypointensities, Fazekas, scale, small vessel disease, cerebral microbleeds, cerebrospinal-fluid, dementia, hyperintensities, assessments, prevalence, diagnosis, lesions, Cell Biology, Geriatrics & Gerontology
Subject categories Clinical Medicine

Abstract

Different measurements of white matter signal abnormalities (WMSA) are often used across studies

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