Quantitative evaluation of automated skull‐stripping methods applied to contemporary and legacy images: Effects of diagnosis, bias correction, and slice location

Performance of automated methods to isolate brain from nonbrain tissues in magnetic resonance (MR) structural images may be influenced by MR signal inhomogeneities, type of MR image set, regional anatomy, and age and diagnosis of subjects studied. The present study compared the performance of four m...

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Bibliographic Details
Main Authors: Fennema‐Notestine, Christine, Ozyurt, I. Burak, Clark, Camellia P., Morris, Shaunna, Bischoff‐Grethe, Amanda, Bondi, Mark W., Jernigan, Terry L., Fischl, Bruce, Segonne, Florent, Shattuck, David W., Leahy, Richard M., Rex, David E., Toga, Arthur W., Zou, Kelly H., Brown, Gregory G.
Format: Artigo
Language:Inglês
Published: Wiley Subscription Services, Inc., A Wiley Company 2005
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Research Articles
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC2408865/
https://ncbi.nlm.nih.gov/pubmed/15986433
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.20161
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