TY - JOUR
T1 - Exploring the use of image text for biomedical literature retrieval.
AU - Xu, Songhua
AU - McCusker, James
AU - Krauthammer, Michael
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=73949096884&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=73949096884&partnerID=8YFLogxK
M3 - Article
C2 - 18999241
AN - SCOPUS:73949096884
SN - 1559-4076
SP - 1186
JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
ER -