Exploring the use of image text for biomedical literature retrieval.

Songhua Xu, James McCusker, Michael Krauthammer

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


In biomedical publications, figures and images concisely summarize a paper's experimental findings and results. Recent studies have therefore explored the use of images to assist in information retrieval (IR) in biomedicine, mostly based on mining the image caption content. We extend this approach by mining the image text, which refers to the text inside biomedical figures and images. In this work, we discuss the distinct advantages of using image text for biomedical IR and present a prototype search engine implementing the idea.

Original languageEnglish (US)
Pages (from-to)1186
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2008
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Medicine


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