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텍스트 기반 의료영상 검색의 최근 발전

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dc.contributor.author황경훈-
dc.contributor.author이해준-
dc.contributor.author고건-
dc.contributor.author김석균-
dc.contributor.author선용한-
dc.contributor.author최덕주-
dc.date.available2020-02-28T13:43:16Z-
dc.date.created2020-02-12-
dc.date.issued2015-
dc.identifier.issn1229-0807-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/11476-
dc.description.abstractAn effective image retrieval system is required as the amount of medical imaging data is increasing recently. Authors reviewed the recent development of text-based medical image retrieval including the use of controlled vocabularies - RadLex (Radiology Lexicon), FMA (Foundational Model of Anatomy), etc - natural language processing, semantic ontology, and image annotation and markup.-
dc.language한국어-
dc.language.isoko-
dc.publisher대한의용생체공학회-
dc.relation.isPartOf의공학회지-
dc.title텍스트 기반 의료영상 검색의 최근 발전-
dc.title.alternativeRecent Development in Text-based Medical Image Retrieval-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass2-
dc.identifier.doi10.9718/JBER.2015.36.3.55-
dc.identifier.bibliographicCitation의공학회지, v.36, no.3, pp.55 - 60-
dc.identifier.kciidART002011845-
dc.citation.endPage60-
dc.citation.startPage55-
dc.citation.title의공학회지-
dc.citation.volume36-
dc.citation.number3-
dc.contributor.affiliatedAuthor황경훈-
dc.contributor.affiliatedAuthor이해준-
dc.contributor.affiliatedAuthor고건-
dc.contributor.affiliatedAuthor김석균-
dc.contributor.affiliatedAuthor선용한-
dc.contributor.affiliatedAuthor최덕주-
dc.subject.keywordAuthorMedical Image-
dc.subject.keywordAuthorText-based Image Retrieval-
dc.subject.keywordAuthorImaging report-
dc.subject.keywordAuthorRadLex-
dc.subject.keywordAuthorOntology-
dc.description.journalRegisteredClasskci-
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