A Set-based Hybrid Approach (SHA) for MRI segmentation
Conference Proceeding Article
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.
Data compression, Fuzzy neural nets, Image coding, Image fusion, Packet radio networks, Telecommunication computing, Telecommunication congestion control, Wavelet transforms
Numerical Analysis and Scientific Computing
Data Management and Analytics
ICARCV '06: 9th International Conference on Control, Automation, Robotics and Vision 2006
City or Country
New York, USA
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. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/2992
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