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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Front Neuroinform
Main Authors: Castillo-Barnes, Diego, Peis, Ignacio, Martínez-Murcia, Francisco J., Segovia, Fermín, Illán, Ignacio A., Górriz, Juan M., Ramírez, Javier, Salas-Gonzalez, Diego
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2017
Assuntos:
Neuroscience
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5702363/
https://ncbi.nlm.nih.gov/pubmed/29209194
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fninf.2017.00066
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados