Abstract
Boundary identification in medical images plays a crucial role in helping physicians in patient diagnosis. Manual identification of object boundaries is a time-consuming task and is subject to operator variability. Fully automatic procedures are still far from satisfactory in most real situations. In this paper, we propose a boundary identification method based on multiscale technique. Experimental results have shown that the proposed method provides superior performance in medical image segmentation.
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Withey, D.: Dynamic edge tracing: recursive methods for medical image segmentation, Ph.D. Thesis, University of Alberta, Canada (2006)
Marr, D., Hildreth, E.: Theory of edge detection. Proc. of the Royal Society of London 207, 187–217 (1980)
Mallat, S., Zhong, S.: Characterization of signals from multiscale edges. IEEE Trans. on PAMI 14(7), 710–732 (1992)
Tang, Y.Y., Yang, L., Feng, L.: Characterization and detection of edges by Lipschitz exponents and MASW wavelet transform. Proc. Intl. Conf. on Pattern Recognition 2, 1572–1574 (1998)
Bertsekas, D.P., Castanon, D.A.: A forward/reverse auction algorithm for asymmetric assignment problems. Computational Optimization and Applications 1, 277–297 (1992)
MNI data set (August 2005), http://www.bic.mni.mcgill.ca/brainweb/
Wang, Z.Y.: Multiscale Boundary Identification for Medical Images. M.Sc. Thesis, University of Alberta, Canada (2007)
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Wang, Z., Mandal, M., Koles, Z. (2007). Multiscale Boundary Identification for Medical Images. In: Ghosh, A., De, R.K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2007. Lecture Notes in Computer Science, vol 4815. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77046-6_22
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DOI: https://doi.org/10.1007/978-3-540-77046-6_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77045-9
Online ISBN: 978-3-540-77046-6
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