Abstract
Although many interactive segmentation methods exists,none can be considered a silver bullet for all clinical tasks. Moreover, incompatible data representations prevent multiple algorithms from being combined as desired. We propose the GEOMAP as a unified representation for segmentation results and illustrate how it facilitates the design of an integrated framework for interactive medical image analysis. Results show the high flexibility and performance of the new framework.
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References
M.H. Austern: Generic Programming and the STL, Addison Wesley, 1999
L. Brun, W.G. Kropatsch: Receptive fields within the Combinatorial Pyramid framework, Graphical Models 65(1-3), pp. 23–42, 2003
J. Canny: A Computational Approach to Edge Detection, IEEE Trans. Pattern Analysis and Machine Intelligence, 8(6), pp. 679–698, 1986
L. Ibanez, W. Schroeder, L. Ng, J. Cates: The ITK Software Guide, Kitware, Inc., http://www.itk.org/, 2003
U. Köthe: XPMaps and Topological Segmentation, in: A. Braquelaire, J.-O. Lachaud, A. Vialard (eds.): Proc. of DGCI 2002, pp. 22–33, 2002
F. Maes: Segmentation and Registration of Multimodal Medical Images, PhD Thesis, Faculteit Geneeskunde, Katholieke Universiteit Leuven, 1998
H. Meine: XPMap-Based Irregular Pyramids for Image Segmentation, Diploma Thesis, Department of Informatics, University of Hamburg, 2003
E.N. Mortensen, W.A. Barrett: Toboggan-Based Intelligent Scissors with a Four-Parameter Edge Model, in: Proc. of CVPR′99, Vol. II, pp. 452–458, 1999
O.F.Olsen: Multi-Scale Watershed Segmentation, in: J. Sporring, M. Nielsen, L. Florack, P. Johansen (Eds.) ”Gaussian Scale-Space Theory”, Kluwer, 1997
X. Ren, J. Malik: Learning a Classification Model for Segmentation, in: Proc. of ICCV′03, Vol. I, pp. 10–16, 2003
Target Jr Documentation, The TargetJr Community, 1998 (project abandoned)
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© 2004 Springer-Verlag Berlin Heidelberg
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Meine, H., Köthe, U., Stiehl, HS. (2004). Fast and Accurate Interactive Image Segmentation in the GEOMAP Framework. In: Tolxdorff, T., Braun, J., Handels, H., Horsch, A., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2004. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18536-6_13
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DOI: https://doi.org/10.1007/978-3-642-18536-6_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21059-7
Online ISBN: 978-3-642-18536-6
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