A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI

A wide range of segmentation approaches assumes that intensity histograms extracted from magnetic resonance images (MRI) have a distribution for each brain tissue that can be modeled by a Gaussian distribution or a mixture of them. Nevertheless, intensity histograms of White Matter and Gray Matter a...

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Detalles Bibliográficos
Autores principales: Castillo-Barnes, Diego, Peis, Ignacio, Martínez-Murcia, Francisco J., Segovia, Fermín, Illán, Ignacio A., Górriz, Juan M., Ramírez, Javier, Salas-Gonzalez, Diego
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702363/
https://www.ncbi.nlm.nih.gov/pubmed/29209194
http://dx.doi.org/10.3389/fninf.2017.00066

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5702363/
https://www.ncbi.nlm.nih.gov/pubmed/29209194
http://dx.doi.org/10.3389/fninf.2017.00066

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