Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/25506
Title: A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image segmentation
Authors: Jiang, L.
Ban, C.K.
Pin, T.B.
Borys, S. 
Wang, S.-C. 
Issue Date: 2006
Citation: Jiang, L.,Ban, C.K.,Pin, T.B.,Borys, S.,Wang, S.-C. (2006). A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image segmentation. Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006 : 159-168. ScholarBank@NUS Repository.
Source Title: Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006
URI: http://scholarbank.nus.edu.sg/handle/10635/25506
ISBN: 9728865554
9789728865559
Appears in Collections:Staff Publications

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