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Medical Image Analysis Using Potential Active Contours

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Information Technologies in Biomedicine

Part of the book series: Advances in Soft Computing ((AINSC,volume 47))

Summary

Potential contours are methods for automatic image analysis. They can be interpreted as contextual classifiers that use expert knowledge and operate in supervised or unsupervised mode. In the present paper, potential contours adapted in the supervised way are examined on medical images.

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References

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  7. Tomczyk, A., Szczepaniak, P.S.: Adaptive Potential Active Hypercontours. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol. 4029, pp. 692–701. Springer, Heidelberg (2006)

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  8. Tomczyk, A., Pieta, L., Szczepaniak, P.S.: Potential Active Contours - Basic Concepts, Mechanisms and Features. ASC, vol. 0047 (2008)

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Ewa Pietka Jacek Kawa

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© 2008 Springer-Verlag Berlin Heidelberg

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Pieta, L., Tomczyk, A., Szczepaniak, P.S. (2008). Medical Image Analysis Using Potential Active Contours. In: Pietka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Soft Computing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68168-7_6

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  • DOI: https://doi.org/10.1007/978-3-540-68168-7_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68167-0

  • Online ISBN: 978-3-540-68168-7

  • eBook Packages: EngineeringEngineering (R0)

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