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Medical image retrieval: Past and present

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dc.contributor.authorHwang, K.H.-
dc.contributor.authorLee, H.-
dc.contributor.authorChoi, D.-
dc.date.available2020-02-29T09:45:52Z-
dc.date.created2020-02-11-
dc.date.issued2012-03-
dc.identifier.issn2093-3681-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/17517-
dc.description.abstractWith the widespread dissemination of picture archiving and communication systems (PACSs) in hospitals, the amount of imaging data is rapidly increasing. Effective image retrieval systems are required to manage these complex and large image databases. The authors reviewed the past development and the present state of medical image retrieval systems including textbased and content-based systems. In order to provide a more effective image retrieval service, the intelligent content-based retrieval systems combined with semantic systems are required. © 2012 The Korean Society of Medical Informatics.-
dc.language영어-
dc.language.isoen-
dc.publisher대한의료정보학회-
dc.relation.isPartOfHealthcare Informatics Research-
dc.titleMedical image retrieval: Past and present-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.doi10.4258/hir.2012.18.1.3-
dc.identifier.bibliographicCitationHealthcare Informatics Research, v.18, no.1, pp.3 - 9-
dc.identifier.kciidART001646478-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-84880779903-
dc.citation.endPage9-
dc.citation.startPage3-
dc.citation.titleHealthcare Informatics Research-
dc.citation.volume18-
dc.citation.number1-
dc.contributor.affiliatedAuthorHwang, K.H.-
dc.contributor.affiliatedAuthorLee, H.-
dc.contributor.affiliatedAuthorChoi, D.-
dc.type.docTypeArticle-
dc.subject.keywordAuthorContent-based image retrieval-
dc.subject.keywordAuthorMedical image-
dc.subject.keywordAuthorOntology-
dc.subject.keywordAuthorRadlex-
dc.subject.keywordAuthorSNOMED-CT-
dc.subject.keywordAuthorText-based image retrieval-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
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