This article presents a quantitative approach to ganglion cell classification by considering combinations of several geometrical features including fractal dimension, symmetry, diameter, eccentricity and convex hull. Special attention is given to moment and symmetry-based features. Several combinations of such features are fed to two clustering methods (Ward's hierarchical scheme and K-Means) and the respectively obtained classifications are compared. The results indicate the superiority of some features, also suggesting possible biological implications.


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    Titel :

    Classification of cat ganglion retinal cells and implications for shape-function relationship


    Beteiligte:
    Coelho, R.C. (Autor:in) / Valenti, C. (Autor:in) / Tanaka, J.S. (Autor:in) / Da Fontoura Costa, L. (Autor:in)


    Erscheinungsdatum :

    2001-01-01


    Format / Umfang :

    535413 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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