Bram van Ginneken, Alejandro F. Frangi, Joes J. Staal, Bart M. ter Haar Romeny, Max A. Viergever  Home/Search
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Abstract: An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the original formulation [Cootes and Taylor, 1995, 1999, and 2001]. A nonlinear kNN-classifier is used, instead of the linear Mahalanobis distance, to find optimal displacements for landmarks. For each of the landmarks that describe the shape, at each resolution level taken into account during the segmentation optimization procedure, a... (Update)
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BibTeX entry: (Update)
B. van Ginneken, A. Frangi, J. Staal, B. ter Haar Romeny, and M. Viergever, "Active shape model segmentation with optimal features," IEEE Transactions on Medical Imaging, vol. 21, no. 8, pp. 924--933, 2002. http://citeseer.ist.psu.edu/vanginneken02active.html More
@misc{ ginneken02active,
author = "B. van Ginneken and A. Frangi and J. Staal and B. Haar and R. Viergever",
title = "Active shape model segmentation with optimal features",
text = "B. van Ginneken, A. Frangi, J. Staal, B. ter Haar Romeny, and M. Viergever,
Active shape model segmentation with optimal features, IEEE Transactions
on Medical Imaging, vol. 21, no. 8, pp. 924--933, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/vanginneken02active.html" }
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362 Active shape models---Their training and application (context) - Cootes, Taylor et al. - 1995
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