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Bayesian spatio-temporal prediction of cancer dynamics
dc.contributor.author | Vlad, Iulian T. | |
dc.contributor.author | Juan, Pablo | |
dc.contributor.author | Mateu, Jorge | |
dc.date.accessioned | 2016-04-25T18:09:27Z | |
dc.date.available | 2016-04-25T18:09:27Z | |
dc.date.issued | 2015-09 | |
dc.identifier.issn | 0898-1221 | |
dc.identifier.uri | http://hdl.handle.net/10234/158946 | |
dc.description.abstract | 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. | ca_CA |
dc.format.extent | 12 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Elsevier | ca_CA |
dc.relation.isPartOf | Computers & Mathematics with Applications, 2015, vol. 70, núm. 5 | ca_CA |
dc.rights | Copyright © 2015 Elsevier Ltd. All rights reserved. | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject | Bayesian inference | ca_CA |
dc.subject | Gaussian random field | ca_CA |
dc.subject | Integrated Nested Laplace Approximations | ca_CA |
dc.subject | Space–time modeling | ca_CA |
dc.subject | Stochastic partial differential equations | ca_CA |
dc.subject | Tumor growth | ca_CA |
dc.title | Bayesian spatio-temporal prediction of cancer dynamics | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.1016/j.camwa.2015.06.006 | |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | ca_CA |
dc.relation.publisherVersion | http://www.sciencedirect.com/science/article/pii/S0898122115002928?np=y | ca_CA |
dc.type.version | info:eu-repo/semantics/publishedVersion | ca_CA |
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