Abstract
The successful 2d segmentation method CSC has recently been generalized to 3d. We shortly introduce the concept of both 2D- and 3D-CSC and present two use cases (classification of MR brain data and CT bone data) which demonstrate that analysis of segments generated by the CSC allows high quality classification of 3d data by relatively easy means.
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© 2007 Springer-Verlag Berlin Heidelberg
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Schmitt, F., Sturm, P., Priese, L. (2007). 3D-CSC: A General Segmentation Technique for Voxel Images with Application in Medicine. In: Buzug, T.M., Holz, D., Bongartz, J., Kohl-Bareis, M., Hartmann, U., Weber, S. (eds) Advances in Medical Engineering. Springer Proceedings in Physics, vol 114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68764-1_31
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DOI: https://doi.org/10.1007/978-3-540-68764-1_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68763-4
Online ISBN: 978-3-540-68764-1
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