On some descriptive and predictive methods for the dynamics of cancer growth
Ver/ Abrir
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
On some descriptive and predictive methods for the dynamics of cancer growthFecha de publicación
2015-01Editor
Alma Mater Studiorum - Università di BolognaCita bibliográfica
VLAD, Iulian T.; MATEU, Jorge; ROMANO, Elvira. On some descriptive and predictive methods for the dynamics of cancer growth. Statistica, 2015, vol. 75, no 3, p. 247.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://search.proquest.com/docview/1789077551/3DB79D3FE32C4E3CPQ/1?accountid=15297Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Cancer is a widely spread disease that affects a large proportion of the human population, and many research teams are developing algorithms to help medics to understand this disease. In particular, tumor growth has ... [+]
Cancer is a widely spread disease that affects a large proportion of the human population, and many research teams are developing algorithms to help medics to understand this disease. In particular, tumor growth has been studied from different viewpoints and several mathematical models have been proposed. In this paper, we review a set of comprehensive and modern tools that are useful for prediction of cancer growth in space and time. We comment on three alternative approaches. We first 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 then consider predictions based on geometric properties of plane curves and vectors, and propose two methods of geometric prediction. Finally we focus on functional data analysis to statistically compare tumor contour evolutions. We also analyze real data on brain tumor. [-]
Proyecto de investigación
Ministry of Economy and Competitivity (Grants P1-1B2012-52, and MTM2013-43917-P)Derechos de acceso
info:eu-repo/semantics/openAccess
Aparece en las colecciones
- MAT_Articles [745]
El ítem tiene asociados los siguientes ficheros de licencia: