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Chapter 1 : Hybrid Segmentation Methods

Imielinska, Celina Z.; Jin, Yinpeng; Angelini, Elsa D.; Metaxas, Dimitris; Udupa, Jayaram K.; Chen, Ting; Zhuge, Ying

We propose a Hybrid Segmentation Engine that consists of component modules, for automated segmentation of radiological patient and the Visible Human data. We integrate boundary-based and region-based segmentation methods to exploit the strength of each method hopefully to cover the weakness of the other method.

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Also Published In

Title
Insight into Images ; Principles and Practice for Segmentation, Registration and Image Analysis
Publisher
AK Peters Ltd.

More About This Work

Academic Units
Biomedical Informatics
Biomedical Engineering
Published Here
September 24, 2014
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