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Segmentation of Ultrasound Imaging by Fuzzy Fusion: Application to Venous Thrombosis

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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

In this work we propose a new method for ultrasound imaging segmentation in objective to help doctors and specialists to interpret anatomical structure. The proposed method is based on fuzzy fusion theory in objective to extract the venous thrombosis contour in ultrasound images acquired in vivo case. The first obtained results by optimization algorithm, adapted to our particular problem case are presented.

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Leszek Rutkowski Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada

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© 2008 Springer-Verlag Berlin Heidelberg

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Dhibi, M., Debon, R. (2008). Segmentation of Ultrasound Imaging by Fuzzy Fusion: Application to Venous Thrombosis. 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_73

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  • DOI: https://doi.org/10.1007/978-3-540-69731-2_73

  • 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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