A Set-based Hybrid Approach (SHA) for MRI segmentation

• Main Authors: Liu Jiang, Tze-Yun LEONG, Chee, Kin Ban, Tan, Boon Pin, Shuter, B., Wang, Shih-chang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2006
• Subjects: Data compression; Fuzzy neural nets; Image coding; Image fusion; Packet radio networks; Telecommunication computing; Telecommunication congestion control; Wavelet transforms; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/2992
• Institution: Singapore Management University

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...