Combining textual and visual features for cross-language medical image retrieval

Pei Cheng Cheng, Been Chian Chien, Hao Ren Ke, Wei Pang Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper we describe the technologies and experimental results for the medical retrieval task and automatic annotation task. We combine textual and content-based approaches to retrieve relevant medical images. The content-based approach containing four image features and the text-based approach using word expansion are developed to accomplish these tasks. Experimental results show that combining both the content-based and text-based approaches is better than using only one approach. In the automatic annotation task we use Support Vector Machines (SVM) to learn image feature characteristics for assisting the task of image classification. Based on the SVM model, we analyze which image feature is more promising in medical image retrieval. The results show that the spatial relationship between pixels is an important feature in medical image data because medical image data always has similar anatomic regions. Therefore, image features emphasizing spatial relationship have better results than others.

Original languageEnglish
Title of host publicationAccessing Multilingual Information Repositories - 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005
PublisherSpringer Verlag
Pages712-723
Number of pages12
ISBN (Print)354045697X, 9783540456971
DOIs
Publication statusPublished - 2006
EventAccessing Multilingual Information Repositories - 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005 - Vienna, Austria
Duration: 2005 Sep 212005 Sep 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4022 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherAccessing Multilingual Information Repositories - 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005
CountryAustria
CityVienna
Period05/9/2105/9/23

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Cheng, P. C., Chien, B. C., Ke, H. R., & Yang, W. P. (2006). Combining textual and visual features for cross-language medical image retrieval. In Accessing Multilingual Information Repositories - 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005 (pp. 712-723). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4022 LNCS). Springer Verlag. https://doi.org/10.1007/11878773_78