Presentation 2011-05-19
Joint Kernel Equal Integration of Visual Features and Textual Terms for Biomedical Imaging Modality Classification
Xian-Hua Han, Yen-Wei Chen,
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Abstract(in English) In this paper, we describe an approach for the automatic modality classification in medical image retrieval task of the 2010 CLEF cross-language image retrieval campaign (ImageCLEF). This work is focused on the process of feature extraction from medical images and fusion the different extracted visual feature and textual feature for modality classification. To extract visual features from the images, we used histogram descriptor of edge, gray or color intensity and block-based variation as global features and SIFT histogram as local feature, and the binary histogram of some predefined vocabulary words for image captions is used for textual feature. Then we combine the different features using normalized kernel functions for SVM classification. The proposed algorithm is evaluated by the provided modality dataset by ImageCLEF2010.
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Keyword(in English) Medical modality / Visual features / Textual feature / Joint Kernel Equal comtribution
Paper # IE2011-18,PRMU2011-10,MI2011-10
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Conference Information
Committee PRMU
Conference Date 2011/5/12(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Joint Kernel Equal Integration of Visual Features and Textual Terms for Biomedical Imaging Modality Classification
Sub Title (in English)
Keyword(1) Medical modality
Keyword(2) Visual features
Keyword(3) Textual feature
Keyword(4) Joint Kernel Equal comtribution
1st Author's Name Xian-Hua Han
1st Author's Affiliation College of Information Science and Engineering, Ritsumeikan University()
2nd Author's Name Yen-Wei Chen
2nd Author's Affiliation College of Information Science and Engineering, Ritsumeikan University
Date 2011-05-19
Paper # IE2011-18,PRMU2011-10,MI2011-10
Volume (vol) vol.111
Number (no) 48
Page pp.pp.-
#Pages 6
Date of Issue