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Authors: Liu Jiang 1 ; Chee Kin Ban 1 ; Tan Boon Pin 1 ; Shuter Borys 2 and Wang Shih-Chang 2

Affiliations: 1 School of Computing, National University of Singapore (NUS), Singapore ; 2 Diagnostic Radiology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore

Abstract: This paper describes a new Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image segmentation based on two existing techniques, region-based and level set methods. In our approach, instead of using the typical pipeline methodology to integrate the two techniques, a hybrid set-based methodology will be proposed. To evaluate the effectiveness of HAST, MR images taken from a national hospital that reflects the quality of real world medical images are used. A comparison between the two individual techniques and HAST will also be made to demonstrate the effectiveness of the latter.

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Paper citation in several formats:
Jiang, L.; Kin Ban, C.; Boon Pin, T.; Borys, S. and Shih-Chang, W. (2006). TA Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image Segmentation. In 6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS; ISBN 978-972-8865-55-9, SciTePress, pages 159-168. DOI: 10.5220/0002473801590168

@conference{pris06,
author={Liu Jiang. and Chee {Kin Ban}. and Tan {Boon Pin}. and Shuter Borys. and Wang Shih{-}Chang.},
title={TA Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image Segmentation},
booktitle={6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS},
year={2006},
pages={159-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002473801590168},
isbn={978-972-8865-55-9},
}

TY - CONF

JO - 6th International Workshop on Pattern Recognition in Information Systems (ICEIS 2006) - PRIS
TI - TA Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image Segmentation
SN - 978-972-8865-55-9
AU - Jiang, L.
AU - Kin Ban, C.
AU - Boon Pin, T.
AU - Borys, S.
AU - Shih-Chang, W.
PY - 2006
SP - 159
EP - 168
DO - 10.5220/0002473801590168
PB - SciTePress

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