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

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Main Authors: Jiang, L., Ban, C.K., Pin, T.B., Borys, S., Wang, S.-C.
Other Authors: DIAGNOSTIC RADIOLOGY
Format: Conference or Workshop Item
Published: 2011
Online Access:http://scholarbank.nus.edu.sg/handle/10635/25506
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-255062024-03-26T05:54:37Z A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image segmentation Jiang, L. Ban, C.K. Pin, T.B. Borys, S. Wang, S.-C. DIAGNOSTIC RADIOLOGY Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006 159-168 2011-08-16T05:14:22Z 2011-08-16T05:14:22Z 2006 Conference Paper 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. 9728865554 9789728865559 http://scholarbank.nus.edu.sg/handle/10635/25506 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006
author2 DIAGNOSTIC RADIOLOGY
author_facet DIAGNOSTIC RADIOLOGY
Jiang, L.
Ban, C.K.
Pin, T.B.
Borys, S.
Wang, S.-C.
format Conference or Workshop Item
author Jiang, L.
Ban, C.K.
Pin, T.B.
Borys, S.
Wang, S.-C.
spellingShingle Jiang, L.
Ban, C.K.
Pin, T.B.
Borys, S.
Wang, S.-C.
A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image segmentation
author_sort Jiang, L.
title A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image segmentation
title_short A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image segmentation
title_full A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image segmentation
title_fullStr A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image segmentation
title_full_unstemmed A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image segmentation
title_sort hybrid approach using set theory (hast) for magnetic resonance (mr) image segmentation
publishDate 2011
url http://scholarbank.nus.edu.sg/handle/10635/25506
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