A Set-based Hybrid Approach (SHA) for MRI segmentation
Publication Type
Conference Proceeding Article
Publication Date
12-2006
Abstract
This paper describes a new hybrid approach Set-Based Hybrid Approach (SHA) for Magnetic Resonance (MR) image segmentation by integrating two existing techniques, region-grow and threshold level set. To evaluate the proposed approach in performing real world image segmentation task, instead of using well-taken MR-images, we use real-life images collected in a hospital. Comparison of the performance between the two individual techniques and the new hybrid technique demonstrates the effectiveness of the latter. © 2006 IEEE.
Keywords
Data compression, Fuzzy neural nets, Image coding, Image fusion, Packet radio networks, Telecommunication computing, Telecommunication congestion control, Wavelet transforms
Discipline
Numerical Analysis and Scientific Computing
Publication
ICARCV '06: 9th International Conference on Control, Automation, Robotics and Vision 2006
First Page
631
Last Page
636
ISBN
9781424403424
Identifier
10.1109/ICARCV.2006.345358
Publisher
IEEE
City or Country
New York, USA
Citation
Liu Jiang; Tze-Yun LEONG; Chee, Kin Ban; Tan, Boon Pin; Shuter, B.; and Wang, Shih-chang.
A Set-based Hybrid Approach (SHA) for MRI segmentation. (2006). ICARCV '06: 9th International Conference on Control, Automation, Robotics and Vision 2006. 631-636.
Available at: https://ink.library.smu.edu.sg/sis_research/2992