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Yale Image Finder (YIF): a new search engine for retrieving biomedical images

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Yale Image Finder (YIF): a new search engine for retrieving biomedical images

Auteurs : Songhua Xu [États-Unis] ; James Mccusker [États-Unis] ; Michael Krauthammer [États-Unis]

Source :

Bioinformatics [ 1367-4803 ] ; 2008.

RBID : PMC:2732221

Abstract

Summary: Yale Image Finder (YIF) is a publicly accessible search engine featuring a new way of retrieving biomedical images and associated papers based on the text carried inside the images. Image queries can also be issued against the image caption, as well as words in the associated paper abstract and title. A typical search scenario using YIF is as follows: a user provides few search keywords and the most relevant images are returned and presented in the form of thumbnails. Users can click on the image of interest to retrieve the high resolution image. In addition, the search engine will provide two types of related images: those that appear in the same paper, and those from other papers with similar image content. Retrieved images link back to their source papers, allowing users to find related papers starting with an image of interest. Currently, YIF has indexed over 140 000 images from over 34 000 open access biomedical journal papers.

Availability: http://krauthammerlab.med.yale.edu/imagefinder/

Contact: michael.krauthammer@yale.edu

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2732221

DOI: 10.1093/bioinformatics/btn340
PubMed: 18614584
PubMed Central: 2732221

Affiliations:

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PMC:2732221

Le document en format XML

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<author><name sortKey="Xu, Songhua" sort="Xu, Songhua" uniqKey="Xu S" first="Songhua" last="Xu">Songhua Xu</name>
<affiliation wicri:level="2"><nlm:aff wicri:cut=" and" id="AFF1">Department of Computer Science, Yale University, 51 Prospect Street, New Haven, CT 06520</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<placeName><region type="state">Connecticut</region>
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<wicri:cityArea>Department of Computer Science, Yale University, 51 Prospect Street, New Haven</wicri:cityArea>
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<author><name sortKey="Mccusker, James" sort="Mccusker, James" uniqKey="Mccusker J" first="James" last="Mccusker">James Mccusker</name>
<affiliation wicri:level="2"><nlm:aff id="AFF1">Department of Pathology & Yale Center for Medical Informatics, 300 Cedar Street, New Haven, CT 06510, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Pathology & Yale Center for Medical Informatics, 300 Cedar Street, New Haven, CT 06510</wicri:regionArea>
<placeName><region type="state">Connecticut</region>
</placeName>
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<author><name sortKey="Krauthammer, Michael" sort="Krauthammer, Michael" uniqKey="Krauthammer M" first="Michael" last="Krauthammer">Michael Krauthammer</name>
<affiliation wicri:level="2"><nlm:aff id="AFF1">Department of Pathology & Yale Center for Medical Informatics, 300 Cedar Street, New Haven, CT 06510, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Pathology & Yale Center for Medical Informatics, 300 Cedar Street, New Haven, CT 06510</wicri:regionArea>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Yale Image Finder (YIF): a new search engine for retrieving biomedical images</title>
<author><name sortKey="Xu, Songhua" sort="Xu, Songhua" uniqKey="Xu S" first="Songhua" last="Xu">Songhua Xu</name>
<affiliation wicri:level="2"><nlm:aff wicri:cut=" and" id="AFF1">Department of Computer Science, Yale University, 51 Prospect Street, New Haven, CT 06520</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<placeName><region type="state">Connecticut</region>
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<wicri:cityArea>Department of Computer Science, Yale University, 51 Prospect Street, New Haven</wicri:cityArea>
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<author><name sortKey="Mccusker, James" sort="Mccusker, James" uniqKey="Mccusker J" first="James" last="Mccusker">James Mccusker</name>
<affiliation wicri:level="2"><nlm:aff id="AFF1">Department of Pathology & Yale Center for Medical Informatics, 300 Cedar Street, New Haven, CT 06510, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Pathology & Yale Center for Medical Informatics, 300 Cedar Street, New Haven, CT 06510</wicri:regionArea>
<placeName><region type="state">Connecticut</region>
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<author><name sortKey="Krauthammer, Michael" sort="Krauthammer, Michael" uniqKey="Krauthammer M" first="Michael" last="Krauthammer">Michael Krauthammer</name>
<affiliation wicri:level="2"><nlm:aff id="AFF1">Department of Pathology & Yale Center for Medical Informatics, 300 Cedar Street, New Haven, CT 06510, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Pathology & Yale Center for Medical Informatics, 300 Cedar Street, New Haven, CT 06510</wicri:regionArea>
<placeName><region type="state">Connecticut</region>
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</author>
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<series><title level="j">Bioinformatics</title>
<idno type="ISSN">1367-4803</idno>
<idno type="eISSN">1460-2059</idno>
<imprint><date when="2008">2008</date>
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<front><div type="abstract" xml:lang="en"><p><bold>Summary:</bold>
 Yale Image Finder (YIF) is a publicly accessible search engine featuring a new way of retrieving biomedical images and associated papers based on the text carried inside the images. Image queries can also be issued against the image caption, as well as words in the associated paper abstract and title. A typical search scenario using YIF is as follows: a user provides few search keywords and the most relevant images are returned and presented in the form of thumbnails. Users can click on the image of interest to retrieve the high resolution image. In addition, the search engine will provide two types of related images: those that appear in the same paper, and those from other papers with similar image content. Retrieved images link back to their source papers, allowing users to find related papers starting with an image of interest. Currently, YIF has indexed over 140 000 images from over 34 000 open access biomedical journal papers.</p>
<p><bold>Availability:</bold>
 <ext-link ext-link-type="uri" xlink:href="http://krauthammerlab.med.yale.edu/imagefinder/">http://krauthammerlab.med.yale.edu/imagefinder/</ext-link>
</p>
<p><bold>Contact:</bold>
 <email>michael.krauthammer@yale.edu</email>
</p>
</div>
</front>
</TEI>
<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
  <front><journal-meta><journal-id journal-id-type="nlm-ta">Bioinformatics</journal-id>
<journal-id journal-id-type="publisher-id">bioinformatics</journal-id>
<journal-id journal-id-type="hwp">bioinfo</journal-id>
<journal-title-group><journal-title>Bioinformatics</journal-title>
</journal-title-group>
<issn pub-type="ppub">1367-4803</issn>
<issn pub-type="epub">1460-2059</issn>
<publisher><publisher-name>Oxford University Press</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">18614584</article-id>
<article-id pub-id-type="pmc">2732221</article-id>
<article-id pub-id-type="doi">10.1093/bioinformatics/btn340</article-id>
<article-id pub-id-type="publisher-id">btn340</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Applications Note</subject>
<subj-group><subject>Data and Text Mining</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group><article-title>Yale Image Finder (YIF): a new search engine for retrieving biomedical images</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Xu</surname>
<given-names>Songhua</given-names>
</name>
<xref ref-type="aff" rid="AFF1"><sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>McCusker</surname>
<given-names>James</given-names>
</name>
<xref ref-type="aff" rid="AFF1"><sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Krauthammer</surname>
<given-names>Michael</given-names>
</name>
<xref ref-type="aff" rid="AFF1"><sup>2</sup>
</xref>
<xref ref-type="corresp" rid="COR1"><sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="AFF1"><sup>1</sup>
Department of Computer Science, Yale University, 51 Prospect Street, New Haven, CT 06520 and<sup>2</sup>
Department of Pathology & Yale Center for Medical Informatics, 300 Cedar Street, New Haven, CT 06510, USA</aff>
<author-notes><corresp id="COR1"><sup>*</sup>
To whom correspondence should be addressed.</corresp>
<fn><p>Associate Editor: John Quackenbush</p>
</fn>
</author-notes>
<pub-date pub-type="ppub"><day>1</day>
<month>9</month>
<year>2008</year>
</pub-date>
<pub-date pub-type="epub"><day>9</day>
<month>7</month>
<year>2008</year>
</pub-date>
<volume>24</volume>
<issue>17</issue>
<fpage>1968</fpage>
<lpage>1970</lpage>
<history><date date-type="received"><day>4</day>
<month>2</month>
<year>2008</year>
</date>
<date date-type="rev-recd"><day>9</day>
<month>6</month>
<year>2008</year>
</date>
<date date-type="accepted"><day>2</day>
<month>7</month>
<year>2008</year>
</date>
</history>
<permissions><copyright-statement>© The Author 2008. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org</copyright-statement>
<copyright-year>2008</copyright-year>
</permissions>
<abstract><p><bold>Summary:</bold>
 Yale Image Finder (YIF) is a publicly accessible search engine featuring a new way of retrieving biomedical images and associated papers based on the text carried inside the images. Image queries can also be issued against the image caption, as well as words in the associated paper abstract and title. A typical search scenario using YIF is as follows: a user provides few search keywords and the most relevant images are returned and presented in the form of thumbnails. Users can click on the image of interest to retrieve the high resolution image. In addition, the search engine will provide two types of related images: those that appear in the same paper, and those from other papers with similar image content. Retrieved images link back to their source papers, allowing users to find related papers starting with an image of interest. Currently, YIF has indexed over 140 000 images from over 34 000 open access biomedical journal papers.</p>
<p><bold>Availability:</bold>
 <ext-link ext-link-type="uri" xlink:href="http://krauthammerlab.med.yale.edu/imagefinder/">http://krauthammerlab.med.yale.edu/imagefinder/</ext-link>
</p>
<p><bold>Contact:</bold>
 <email>michael.krauthammer@yale.edu</email>
</p>
</abstract>
</article-meta>
</front>
</pmc>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>Connecticut</li>
</region>
</list>
<tree><country name="États-Unis"><region name="Connecticut"><name sortKey="Xu, Songhua" sort="Xu, Songhua" uniqKey="Xu S" first="Songhua" last="Xu">Songhua Xu</name>
</region>
<name sortKey="Krauthammer, Michael" sort="Krauthammer, Michael" uniqKey="Krauthammer M" first="Michael" last="Krauthammer">Michael Krauthammer</name>
<name sortKey="Mccusker, James" sort="Mccusker, James" uniqKey="Mccusker J" first="James" last="Mccusker">James Mccusker</name>
</country>
</tree>
</affiliations>
</record>

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Yale Image Finder (YIF): a new search engine for retrieving biomedical images

Yale Image Finder (YIF): a new search engine for retrieving biomedical images

Source :

Abstract

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

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Le document en format XML

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