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3D-CSC: A General Segmentation Technique for Voxel Images with Application in Medicine

  • Frank Schmitt
  • Patrick Sturm
  • Lutz Priese
Part of the Springer Proceedings in Physics book series (SPPHY, volume 114)

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.

Keywords

Voxel Image Cell Hierarchy Healthy Human Brain Color Structure Code High Quality Classification 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Frank Schmitt
    • 1
  • Patrick Sturm
    • 1
  • Lutz Priese
    • 1
  1. 1.University Koblenz-LandauKoblenzGermany

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