KIDS's evaluation in medical image retrieval task at ImageCLEF 2004

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

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


We describe our participation in the medical retrieval task of the ImageCLEF 2004. This task aims at finding images that are similar with respect to modality (CT, radiograph, MRI, and so on). We propose several image features, including color histogram, gray-spatial histogram, coherence moment, and gray correlogram, to facilitate the retrieval of similar images. The initial retrieval results are obtained via visual feature analysis. An automatic feedback mechanism clusters visually and textually similar images among these initial results to help refine the query. In this paper, we present the system used, focusing on novel and newly developed aspects. The evaluated result shows that the automatic feedback mechanism improves the precision by 15%.

Original languageEnglish
JournalCEUR Workshop Proceedings
Publication statusPublished - 2004
Externally publishedYes
Event2004 Cross Language Evaluation Forum Workshop, CLEF 2004, co-located with the 8th European Conference on Digital Libraries, ECDL 2004 - Bath, United Kingdom
Duration: 2004 Sept 152004 Sept 17


  • Color histogram
  • Medical image retrieval
  • Relevance feedback

ASJC Scopus subject areas

  • General Computer Science


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