Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICARCV.2006.345358
Title: A Set-based Hybrid Approach (SHA) for MRI segmentation
Authors: Liu, J. 
Leong, T.-Y. 
Chee, K.B.
Tan, B.P.
Shuter, B.
Wang, S.-C.
Issue Date: 2006
Source: Liu, J.,Leong, T.-Y.,Chee, K.B.,Tan, B.P.,Shuter, B.,Wang, S.-C. (2006). A Set-based Hybrid Approach (SHA) for MRI segmentation. 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06. ScholarBank@NUS Repository. https://doi.org/10.1109/ICARCV.2006.345358
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.
Source Title: 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
URI: http://scholarbank.nus.edu.sg/handle/10635/41650
ISBN: 1424403421
DOI: 10.1109/ICARCV.2006.345358
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