Figure mining for biomedical research

Rodriguez-Esteban, R., Iossifov, I. (August 2009) Figure mining for biomedical research. Bioinformatics, 25 (16). pp. 2082-2084.

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URL: http://www.ncbi.nlm.nih.gov/pubmed/19439564
DOI: 10.1093/bioinformatics/btp318

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

Item Type: Paper
Subjects: bioinformatics > genomics and proteomics > databases
bioinformatics > genomics and proteomics > computers > computer software
CSHL Authors:
Communities: CSHL labs > Iossifov lab
Depositing User: Matt Covey
Date: 15 August 2009
Date Deposited: 21 Feb 2013 16:50
Last Modified: 21 Feb 2013 16:50
Related URLs:
URI: https://repository.cshl.edu/id/eprint/27377

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