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10.1109/CBMS.2005.97guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Texture-Based Image Retrieval for Computerized Tomography Databases

Published: 23 June 2005 Publication History

Abstract

In this paper we propose a Content-Based Image Retrieval (CBIR) system for retrieval of normal anatomical regions present in Co mputed Tomography (CT) studies of the chest and abdomen. We implement and compare eight similarity measures using local and global co-occurrence texture descriptors. The preliminary results are obtained using a CT database consisting of 344 CT images representing the segmented heart and great vessels, liver, renal and splenic parenchyma, and backbone from two different patients. We evaluate the results with respect to the retrieval precision metric for each of the similarity measures when calculated per organ and overall.

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  • (2011)On nonmetric similarity search problems in complex domainsACM Computing Surveys (CSUR)10.1145/1978802.197881343:4(1-50)Online publication date: 18-Oct-2011
  • (2007)Unified framework for fast exact and approximate search in dissimilarity spacesACM Transactions on Database Systems10.1145/1292609.129261932:4(29-es)Online publication date: 1-Nov-2007

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Published In

cover image Guide Proceedings
CBMS '05: Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
June 2005
565 pages
ISBN:0769523552

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IEEE Computer Society

United States

Publication History

Published: 23 June 2005

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Cited By

View all
  • (2011)On nonmetric similarity search problems in complex domainsACM Computing Surveys (CSUR)10.1145/1978802.197881343:4(1-50)Online publication date: 18-Oct-2011
  • (2007)Unified framework for fast exact and approximate search in dissimilarity spacesACM Transactions on Database Systems10.1145/1292609.129261932:4(29-es)Online publication date: 1-Nov-2007

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