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Exploring the use of image text for biomedical literature retrieval.

科研成果: 期刊稿件文章同行评审

4 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)1186
页数1
期刊AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
出版状态已出版 - 2008
已对外发布

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