Chapters (Layout Features)

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.

Subjects

Files

  • thumnail for 2004_Imielinska_chapter_in__-_Insight_into_Images_Principles_and_Practice_for_Segmentation__Registration__and_Image_Analysis.pdf 2004_Imielinska_chapter_in__-_Insight_into_Images_Principles_and_Practice_for_Segmentation__Registration__and_Image_Analysis.pdf application/pdf 1.26 MB

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