期刊
BIOINFORMATICS
卷 25, 期 16, 页码 2082-2084出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btp318
关键词
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Motivation: Figures from biomedical articles contain valuable information difficult to reach without specialized tools. Currently, there is no search engine that can retrieve specific figure types. Results: This study describes a retrieval method that takes advantage of principles in image understanding, text mining and optical character recognition (OCR) to retrieve figure types defined conceptually. A search engine was developed to retrieve tables and figure types to aid computational and experimental research.
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