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Accuracy and reliability of automated gray matter segmentation pathways on real and simulated structural magnetic resonance images of the human brain.

Automated gray matter segmentation of magnetic resonance imaging data is essential for morphometric analyses of the brain, particularly when large sample sizes are investigated. However, although detection of small structural brain differences may fundamentally depend on the method used, both accura...

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Detalles Bibliográficos
Principais autores: Lucas D Eggert, Jens Sommer, Andreas Jansen, Tilo Kircher, Carsten Konrad
Formato: Artigo
Idioma:Inglês
Publicado: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Acceso en liña:http://europepmc.org/articles/PMC3445568?pdf=render
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