SMIRE: Similar medical image retrieval engine

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


研究成果: 雜誌貢獻會議論文同行評審


This paper aims at finding images that are similar to a medical image example query. We propose several image features based on wavelet coefficients, including color histogram, gray-spatial histogram, coherence moment, and gray correlogram, to facilitate the retrieval of similar medical images. The initial retrieval results are obtained via visual feature analysis. An automatic feedback mechanism that clusters visually and textually similar images among these initial results was also proposed to help refine the query. In the ImageCLEF 2004 evaluation, the experimental results show that our system is excellence in mean average precision.

頁(從 - 到)750-760
期刊Lecture Notes in Computer Science
出版狀態已發佈 - 2005
事件5th Workshop of the Cross-Language Evaluation Forum, CLEF 2004: Multilingual Information Access for Text, Speech and Images - Bath, 英国
持續時間: 2004 9月 152004 9月 17

ASJC Scopus subject areas

  • 理論電腦科學
  • 一般電腦科學


深入研究「SMIRE: Similar medical image retrieval engine」主題。共同形成了獨特的指紋。