Abstract
This paper focuses on the problem of knowledge extraction, which is necessary to find heart ventricles in computed tomography (CT) images. In the proposed approach potential active contours are used as a segmentation technique. An energy function used during the evolution of contour requires a proper identification of blood inside heart ventricles as well as an approximate localization of intervetricular septum. The methodology effectively allowing to extract that semantic information from the images is described.
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© 2011 Springer-Verlag Berlin Heidelberg
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Tomczyk, A., Szczepaniak, P.S. (2011). Knowledge Extraction for Heart Image Segmentation. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_60
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DOI: https://doi.org/10.1007/978-3-642-20320-6_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20319-0
Online ISBN: 978-3-642-20320-6
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