Here some basic concepts of Statistical Shape Analysis are introduced and applied to a specific problem: automatic recognition and classification of cells coming from tumor tissues, from their nuclear profiles. The technique here described, which is commonly used for the description of the mean geometrical characteristics of families of random objects and their statistical analysis, is proposed as an alternative (or in addition) to the study of an asymptotic fractal model for the contour of nuclei.
Statistical shape analysis applied to automatic recognition of tumor cells / A. Micheletti - In: Fractals in Biology and Medicine IV / [a cura di] G.A. Losa, D. Merlini, T.F.Nonnenmacher, E.R.Weibel. - Basel : Birkauser Verlag, 2005. - ISBN 978-3-7643-7172-2. - pp. 165-174 (( Intervento presentato al 4. convegno Fractals in Biology and Medicine tenutosi a Ascona (CH) nel 2004.
Statistical shape analysis applied to automatic recognition of tumor cells
A. MichelettiPrimo
2005
Abstract
Here some basic concepts of Statistical Shape Analysis are introduced and applied to a specific problem: automatic recognition and classification of cells coming from tumor tissues, from their nuclear profiles. The technique here described, which is commonly used for the description of the mean geometrical characteristics of families of random objects and their statistical analysis, is proposed as an alternative (or in addition) to the study of an asymptotic fractal model for the contour of nuclei.
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