New tissue priors for improved automated classification of subcortical brain structures on MRI()

Despite the constant improvement of algorithms for automated brain tissue classification, the accurate delineation of subcortical structures using magnetic resonance images (MRI) data remains challenging. The main difficulties arise from the low gray-white matter contrast of iron rich areas in T1-we...

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Detalles Bibliográficos
Autores principales: Lorio, S., Fresard, S., Adaszewski, S., Kherif, F., Chowdhury, R., Frackowiak, R.S., Ashburner, J., Helms, G., Weiskopf, N., Lutti, A., Draganski, B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819722/
https://www.ncbi.nlm.nih.gov/pubmed/26854557
http://dx.doi.org/10.1016/j.neuroimage.2016.01.062

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819722/
https://www.ncbi.nlm.nih.gov/pubmed/26854557
http://dx.doi.org/10.1016/j.neuroimage.2016.01.062

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