I2Cnet : Content-based similarity search in geographically distributed repositories of medical images
Identifieur interne : 002D29 ( Istex/Corpus ); précédent : 002D28; suivant : 002D30I2Cnet : Content-based similarity search in geographically distributed repositories of medical images
Auteurs : Stelios C. Orphanoudakis ; Catherine E. Chronaki ; Despina VamvakaSource :
- Computerized Medical Imaging and Graphics [ 0895-6111 ] ; 1996.
Abstract
The retrieval of images by content is rapidly gaining acceptance as an important function of image database systems. This paper discusses the architecture of I2Cnet, a network of servers which provide content-based query services through a WWW browser. In I2Cnet, algorithms for the representation, storage, and retrieval of medical images based on different descriptions of image content are implemented using description types. AttributeMatch, a description type supported by I2Cnet, aims to capture the knowledge of medical experts in queries by using a similarity criterion which can be tailored to user preferences. We present results showing the query response time of AttributeMatch, obtained with image classes of various sizes, and the degree of similarity of retrieved images to the query image under different similarity criteria.
Url:
DOI: 10.1016/S0895-6111(96)00013-4
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Orphanoudakis</name><affiliation><mods:affiliation>Medical Information Systems Laboratory, Institute of Computer Science, Foundation for Research and Technology—HELLAS, P.O. Box 1385, 711 10 Heraklion, Crete, Greece</mods:affiliation></affiliation></author><author><name sortKey="Chronaki, Catherine E" sort="Chronaki, Catherine E" uniqKey="Chronaki C" first="Catherine E." last="Chronaki">Catherine E. Chronaki</name><affiliation><mods:affiliation>Medical Information Systems Laboratory, Institute of Computer Science, Foundation for Research and Technology—HELLAS, P.O. Box 1385, 711 10 Heraklion, Crete, Greece</mods:affiliation></affiliation></author><author><name sortKey="Vamvaka, Despina" sort="Vamvaka, Despina" uniqKey="Vamvaka D" first="Despina" last="Vamvaka">Despina Vamvaka</name><affiliation><mods:affiliation>Medical Information Systems Laboratory, Institute of Computer Science, Foundation for Research and Technology—HELLAS, P.O. 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We present results showing the query response time of AttributeMatch, obtained with image classes of various sizes, and the degree of similarity of retrieved images to the query image under different similarity criteria.</p></abstract><textClass><keywords scheme="keyword"><list><head>Article category</head><item><term>Content-based image retrieval</term></item></list></keywords></textClass><textClass><keywords scheme="keyword"><list><head>Keywords</head><item><term>Content-based image retrieval</term></item><item><term>Medical image databases</term></item><item><term>Visual image management</term></item><item><term>Teleradiology</term></item><item><term>Regional health-care network</term></item><item><term>WWW information services</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="1996-01-26">Received</change><change when="1996">Published</change></revisionDesc></teiHeader></istex:fulltextTEI></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>CMIG</jid><aid>96000134</aid><ce:pii>S0895-6111(96)00013-4</ce:pii><ce:doi>10.1016/S0895-6111(96)00013-4</ce:doi><ce:copyright type="unknown" year="1996"></ce:copyright><ce:doctopics><ce:doctopic><ce:text>Content-based image retrieval</ce:text></ce:doctopic></ce:doctopics></item-info><head><ce:title><ce:italic>I<ce:sup>2</ce:sup>Cnet</ce:italic>: Content-based similarity search in geographically distributed repositories of medical images</ce:title><ce:author-group><ce:author><ce:given-name>Stelios C.</ce:given-name><ce:surname>Orphanoudakis</ce:surname></ce:author><ce:author><ce:given-name>Catherine E.</ce:given-name><ce:surname>Chronaki</ce:surname></ce:author><ce:author><ce:given-name>Despina</ce:given-name><ce:surname>Vamvaka</ce:surname></ce:author><ce:affiliation><ce:textfn>Medical Information Systems Laboratory, Institute of Computer Science, Foundation for Research and Technology—HELLAS, P.O. Box 1385, 711 10 Heraklion, Crete, Greece</ce:textfn></ce:affiliation></ce:author-group><ce:date-received day="26" month="1" year="1996"></ce:date-received><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>The retrieval of images by content is rapidly gaining acceptance as an important function of image database systems. This paper discusses the architecture of <ce:italic>I<ce:sup>2</ce:sup>Cnet</ce:italic>, a network of servers which provide content-based query services through a WWW browser. In <ce:italic>I<ce:sup>2</ce:sup>Cnet</ce:italic>, algorithms for the representation, storage, and retrieval of medical images based on different descriptions of image content are implemented using description types. <ce:italic>AttributeMatch</ce:italic>, a description type supported by <ce:italic>I<ce:sup>2</ce:sup>Cnet</ce:italic>, aims to capture the knowledge of medical experts in queries by using a similarity criterion which can be tailored to user preferences. We present results showing the query response time of <ce:italic>AttributeMatch</ce:italic>, obtained with image classes of various sizes, and the degree of similarity of retrieved images to the query image under different similarity criteria.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Content-based image retrieval</ce:text></ce:keyword><ce:keyword><ce:text>Medical image databases</ce:text></ce:keyword><ce:keyword><ce:text>Visual image management</ce:text></ce:keyword><ce:keyword><ce:text>Teleradiology</ce:text></ce:keyword><ce:keyword><ce:text>Regional health-care network</ce:text></ce:keyword><ce:keyword><ce:text>WWW information services</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>I2Cnet : Content-based similarity search in geographically distributed repositories of medical images</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>: Content-based similarity search in geographically distributed repositories of medical images</title></titleInfo><name type="personal"><namePart type="given">Stelios C.</namePart><namePart type="family">Orphanoudakis</namePart><affiliation>Medical Information Systems Laboratory, Institute of Computer Science, Foundation for Research and Technology—HELLAS, P.O. Box 1385, 711 10 Heraklion, Crete, Greece</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Catherine E.</namePart><namePart type="family">Chronaki</namePart><affiliation>Medical Information Systems Laboratory, Institute of Computer Science, Foundation for Research and Technology—HELLAS, P.O. Box 1385, 711 10 Heraklion, Crete, Greece</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Despina</namePart><namePart type="family">Vamvaka</namePart><affiliation>Medical Information Systems Laboratory, Institute of Computer Science, Foundation for Research and Technology—HELLAS, P.O. Box 1385, 711 10 Heraklion, Crete, Greece</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">1996</dateIssued><dateCaptured encoding="w3cdtf">1996-01-26</dateCaptured><copyrightDate encoding="w3cdtf">1996</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">The retrieval of images by content is rapidly gaining acceptance as an important function of image database systems. This paper discusses the architecture of I2Cnet, a network of servers which provide content-based query services through a WWW browser. In I2Cnet, algorithms for the representation, storage, and retrieval of medical images based on different descriptions of image content are implemented using description types. AttributeMatch, a description type supported by I2Cnet, aims to capture the knowledge of medical experts in queries by using a similarity criterion which can be tailored to user preferences. We present results showing the query response time of AttributeMatch, obtained with image classes of various sizes, and the degree of similarity of retrieved images to the query image under different similarity criteria.</abstract><subject><genre>Article category</genre><topic>Content-based image retrieval</topic></subject><subject><genre>Keywords</genre><topic>Content-based image retrieval</topic><topic>Medical image databases</topic><topic>Visual image management</topic><topic>Teleradiology</topic><topic>Regional health-care network</topic><topic>WWW information services</topic></subject><relatedItem type="host"><titleInfo><title>Computerized Medical Imaging and Graphics</title></titleInfo><titleInfo type="abbreviated"><title>CMIG</title></titleInfo><genre type="Journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199607</dateIssued></originInfo><identifier type="ISSN">0895-6111</identifier><identifier type="PII">S0895-6111(00)X0009-2</identifier><part><date>199607</date><detail type="issue"><title>Medical Image Databases</title></detail><detail type="volume"><number>20</number><caption>vol.</caption></detail><detail type="issue"><number>4</number><caption>no.</caption></detail><extent unit="issue pages"><start>187</start><end>356</end></extent><extent unit="pages"><start>193</start><end>207</end></extent></part></relatedItem><identifier type="istex">FCEC879074023619F2AA0E0F4AFBB073B6F33370</identifier><identifier type="DOI">10.1016/S0895-6111(96)00013-4</identifier><identifier type="PII">S0895-6111(96)00013-4</identifier><recordInfo><recordContentSource>ELSEVIER</recordContentSource></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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