NCTU-DBLAB at Imageclefmed 2005: Medical image retrieval task

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

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


In this article, we describe the used technologies and experimental results for the medical retrieval task at ImageCLEF 2005. The topics of competition this year contain both semantic queries and visual queries. The content-based approach containing four image features and the text-based approach using word expansion are developed to accomplish the mission. The experimental results show that the text-based approach has higher precision rate than content-based approach. Further, the results of combining both the content-based and text-based approaches are better than those using only one of the approaches. We summarize that the consideration on the image of visual queries can provide more human semantic perception and improve the efficiency for medical image retrieval.

Original languageEnglish
JournalCEUR Workshop Proceedings
Publication statusPublished - 2005
Externally publishedYes
Event2005 Cross Language Evaluation Forum Workshop, CLEF 2005, co-located with the 9th European Conference on Digital Libraries, ECDL 2005 - Wien, Austria
Duration: 2005 Sept 212005 Sept 22


  • Content based image retrieval
  • Medical Image retrieval

ASJC Scopus subject areas

  • General Computer Science


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