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|Title:||A Set-based Hybrid Approach (SHA) for MRI segmentation||Authors:||Liu, J.
|Issue Date:||2006||Citation:||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|
|Appears in Collections:||Staff Publications|
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