Bayesian spatio-temporal prediction of cancer dynamics
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http://dx.doi.org/10.1016/j.camwa.2015.06.006 |
Metadatos
Título
Bayesian spatio-temporal prediction of cancer dynamicsFecha de publicación
2015-09Editor
ElsevierISSN
0898-1221Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.sciencedirect.com/science/article/pii/S0898122115002928?np=yVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
In this paper we analyze the spatio-temporal dynamics of brain tumors. These objects are originally processed from computer tomography images, and can be depicted as a collection of image pixels with varying degrees ... [+]
In this paper we analyze the spatio-temporal dynamics of brain tumors. These objects are originally processed from computer tomography images, and can be depicted as a collection of image pixels with varying degrees of color intensity levels. We consider spatio-temporal stochastic processes within a Bayesian framework to model spatial heterogeneity, temporal dependence and spatio-temporal interactions amongst the pixels, providing a general modeling framework for such dynamics. We aim at predicting cancer growth in space and time. We analyze real data on brain tumor based on a set of images taken in several time lags. [-]
Publicado en
Computers & Mathematics with Applications, 2015, vol. 70, núm. 5Derechos de acceso
Copyright © 2015 Elsevier Ltd. All rights reserved.
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