Abstract
We propose a novel method of active spectral segmentation of cardiac ventricle by application of Bayesian inference adapted to contour detection in speckled ultrasonographic cardiological data. We discuss the advantages and limitations of this method and describe possible further developments.
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Sołtysiński, T., Kałużynski, K., Pałko, T. (2006). Cardiac Ventricle Contour Reconstruction in Ultrasonographic Images Using Bayesian Constrained Spectral Method. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_104
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DOI: https://doi.org/10.1007/11785231_104
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35748-3
Online ISBN: 978-3-540-35750-6
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