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

Saved in:

Bibliographic Details
Main Authors:	Jiang, L., Ban, C.K., Pin, T.B., Borys, S., Wang, S.-C.
Other Authors:	COMPUTER SCIENCE
Format:	Conference or Workshop Item
Published:	2013
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/40650
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-40650
record_format	dspace
spelling	sg-nus-scholar.10635-406502015-01-12T13:14:41Z 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. COMPUTER SCIENCE Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006 159-168 2013-07-04T08:09:12Z 2013-07-04T08:09:12Z 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 http://scholarbank.nus.edu.sg/handle/10635/40650 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
description	Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006
author2	COMPUTER SCIENCE
author_facet	COMPUTER SCIENCE 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	2013
url	http://scholarbank.nus.edu.sg/handle/10635/40650
_version_	1681082304462585856

A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image segmentation

Similar Items