• Home
• Library
• DRO home

A new re-ranking method using enhanced pseudo-relevance feedback for content-based medical image retrieval Huang, Yonggang, Zhang, Jun, Zhao, Yongwang and Ma, Dianfu 2012, A new re-ranking method using enhanced pseudo-relevance feedback for content-based medical image retrieval, IEICE transactions on information and systems, vol. E95-D, no. 2, pp. 694-698. Attached Files Name Description MIMEType Size Downloads Title A new re-ranking method using enhanced pseudo-relevance feedback for content-based medical image retrieval Author(s) Huang, Yonggang Zhang, Jun Zhao, Yongwang Ma, Dianfu Journal name IEICE transactions on information and systems Volume number E95-D Issue number 2 Start page 694 End page 698 Total pages 5 Publisher Denshi Jouhou Tsuushin Gakkai Place of publication Tokyo, Japan Publication date 2012-02 ISSN 0916-8532 1745-1361 Keyword(s) CBIR fuzzy SVM ensemble re-ranking similarity update Summary We propose a novel re-ranking method for content-based medical image retrieval based on the idea of pseudo-relevance feedback (PRF). Since the highest ranked images in original retrieval results are not always relevant, a naive PRF based re-ranking approach is not capable of producing a satisfactory result. We employ a two-step approach to address this issue. In step 1, a Pearson's correlation coefficient based similarity update method is used to re-rank the high ranked images. In step 2, after estimating a relevance probability for each of the highest ranked images, a fuzzy SVM ensemble based approach is adopted to re-rank the images. The experiments demonstrate that the proposed method outperforms two other re-ranking methods. Language eng Field of Research 089999 Information and Computing Sciences not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2012, The Institute of Electronics, Information and Communication Engineers Persistent URL http://hdl.handle.net/10536/DRO/DU:30047014 Document type: Journal Article Collection: School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 13 Aug 2012, 13:00:23 EST Tue, 23 Oct 2012, 13:48:27 EST Tue, 23 Oct 2012, 13:49:28 EST Tue, 23 Oct 2012, 13:50:49 EST Wed, 17 Apr 2013, 15:38:48 EST Filtered Full Access Statistics: 48 Abstract Views, 6 File Downloads  -  Detailed Statistics Created: Mon, 13 Aug 2012, 13:00:23 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.