2001 Conference Objects
Hybrid Segmentation of Anatomical Data
We propose new hybrid methods for automated segmentation of radiological patient data and the Visible Human data. In this paper, we integrate boundary-based and region-based segmentation methods which amplifies the strength but reduces the weakness of both approaches. The novelty comes from combining a boundary-based method, the deformable model-based segmentation with region-based segmentation methods, the fuzzy connectedness and Voronoi Diagram-based segmentation, to develop hybrid methods that yield high precision, accuracy and efficiency. This work is a part of a NLM funded effort to provide a fully implemented and tested Visible Human Project Segmentation and Registration Toolkit (Insight).
- 2001_Imielinska_MICCAI_Metaxs_Udupa_Jin_Chen.pdf text/pdf 543 KB Download File
Also Published In
- Medical image computing and computer-assisted intervention - MICCAI 2001