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

Liu, J.Leong, T.-Y.
Chee, K.B.
Tan, B.P.
Shuter, B.Wang, S.-C.
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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.
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9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
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COMPUTER SCIENCE
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2006
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Conference Paper
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