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Novel Quantitative Method for Spleen’s Morphometry in Splenomegally

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Artificial Intelligence and Soft Computing – ICAISC 2008 (ICAISC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5097))

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Abstract

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.

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Authors and Affiliations

  1. Institute of Precision and Biomedical Engineering, Department of Mechatronics, Warsaw University of Technology, Św. Andrzeja Boboli 8, 02-525, Warsaw, Poland

    Tomasz Sołtysiński

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  1. Tomasz Sołtysiński
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Leszek Rutkowski Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada

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Sołtysiński, T. (2008). Novel Quantitative Method for Spleen’s Morphometry in Splenomegally. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_93

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  • DOI: https://doi.org/10.1007/978-3-540-69731-2_93

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69572-1

  • Online ISBN: 978-3-540-69731-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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