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https://scholarbank.nus.edu.sg/handle/10635/25583
| 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 | 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. | 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/10635/25583 | ISBN: | 1424403421 9781424403424 |
| Appears in Collections: | Staff Publications |
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