2008 | OriginalPaper | Buchkapitel
Novel Quantitative Method for Spleen’s Morphometry in Splenomegally
verfasst von : Tomasz Sołtysiński
Erschienen in: Artificial Intelligence and Soft Computing – ICAISC 2008
Verlag: Springer Berlin Heidelberg
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Novel method for spleen’s semiautomatic accurate quantitative morphometry adaptable in diagnosis of splenomegally is described. The method is based on multiscale wavelet image decomposition, Bayesian inference that reveals the most probable structure delineation in the image and spectral method to smooth and approximate the most probable representation of a real contour hidden in a noisy or fuzzy data.