OcrV1, Main, Exploration, bibRecord, 000844

Figure mining for biomedical research

Identifieur interne : 000844 ( Main/Exploration ); précédent : 000843; suivant : 000845

Figure mining for biomedical research

Auteurs : Raul Rodriguez-Esteban [États-Unis] ; Ivan Iossifov [États-Unis]

Source :

Bioinformatics [ 1367-4803 ] ; 2009-08-15.

RBID : ISTEX:DEB89450440496EF4DB902425DF7B9C68188C227

English descriptors

KwdEn :
- Abstracting and Indexing as Topic (methods), Biomedical Research, Computational Biology (methods), Data Mining (methods), Pattern Recognition, Automated (methods).
MESH :
- methods : Abstracting and Indexing as Topic, Computational Biology, Data Mining, Pattern Recognition, Automated.
- Biomedical Research.

Abstract

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. Availability: http://iossifovlab.cshl.edu/figurome Contact: raul.rodriguez-esteban@pfizer.com

Url:

https://api.istex.fr/document/DEB89450440496EF4DB902425DF7B9C68188C227/fulltext/pdf

DOI: 10.1093/bioinformatics/btp318

Affiliations:

Le document en format XML

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<author><name sortKey="Iossifov, Ivan" sort="Iossifov, Ivan" uniqKey="Iossifov I" first="Ivan" last="Iossifov">Ivan Iossifov</name>
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<affiliation><wicri:noCountry code="no comma">To whom correspondence should be addressed.</wicri:noCountry>
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<series><title level="j">Bioinformatics</title>
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<term>Pattern Recognition, Automated (methods)</term>
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<term>Computational Biology</term>
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<term>Pattern Recognition, Automated</term>
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<front><div type="abstract">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. Availability: http://iossifovlab.cshl.edu/figurome Contact: raul.rodriguez-esteban@pfizer.com</div>
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<name sortKey="Iossifov, Ivan" sort="Iossifov, Ivan" uniqKey="Iossifov I" first="Ivan" last="Iossifov">Ivan Iossifov</name>
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Serveur d'exploration sur l'OCR

Figure mining for biomedical research

Figure mining for biomedical research

Source :

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

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