Two Handy Geometric Prediction Methods of Cancer Growth
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Título
Two Handy Geometric Prediction Methods of Cancer GrowthFecha de publicación
2015Editor
Bentham Science PublishersISSN
1573-4056Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.eurekaselect.com/132483/articleVersión
info:eu-repo/semantics/sumittedVersionPalabras clave / Materias
Resumen
In present day societies, cancer is a widely spread disease that affects a large proportion of the human population, many research teams are developing algorithms to help medics to understand this disease. In particular, ... [+]
In present day societies, cancer is a widely spread disease that affects a large proportion of the human population, many research teams are developing algorithms to help medics to understand this disease. In particular, tumor growth has been studied from different viewpoints and different mathematical models have been proposed. Our aim is to make predictions about shape growth, where shapes are given as domains bounded by a closed curve in R2.
These predictions are based on geometric properties of plane curves and vectors. We propose two methods of prediction and a comparison between them is shared. Both methods can be used to study the evolution in time of any 2D and 3D geometrical forms such as cancer skin and other types of cancer boundary. The first method is based on observations in the normal direction to the plane curve (boundary) at each point (normal method). The second method is based on observations at the growing boundaries in radial directions from the "center" of the shape (radius method). The real data consist of at least two input curves that bind a plane domain. [-]
Publicado en
Current Medical Imaging Reviews, 2015, vol. 11, núm. 4, p. 254-261.Derechos de acceso
© 2017 Bentham Science Publishers
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info:eu-repo/semantics/openAccess
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info:eu-repo/semantics/openAccess
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