Publicação: Conceptual representation of digital medical images: Integrating Context and Visual Content
dc.contributor.author | Roa Martinez, Sandra Milena [UNESP] | |
dc.contributor.author | Gregorio Vidotti, Silvana Aparecida Borsetti [UNESP] | |
dc.contributor.author | Vicentini Jorente, Maria Jose [UNESP] | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2018-11-26T15:44:05Z | |
dc.date.available | 2018-11-26T15:44:05Z | |
dc.date.issued | 2016-01-01 | |
dc.description.abstract | This paper presented a proposal conceptual framework to represent digital medical images, which is integrated: 1) descriptive elements from the rules of cataloging and metadata standards for information resources, 2) standard for digital imaging and communications in medicine (DICOM) and 3) visual content of images provided by feature extraction techniques. We using the framework of functional requirements for bibliographic records (FRBR), the model of requirements functional for digital image data (RFDID) and model Entity-Relation (ER) to define and build the concepts embodied in the diagram proposed by this work, which integrates context information and visual content of a digital medical imaging for representation as an informational resource addressing the complexity of such images. | en |
dc.description.affiliation | Univ Estadual Paulista UNESP, Univ Cauca, Grp Invest Inteligencia Computac, Grp Pesquisa Nuevas Tecnol Informac,Dept Sistemas, Sao Paulo, Brazil | |
dc.description.affiliation | Univ Estadual Paulista UNESP, Grp Pesquisa Nuevas Tecnol Informac, Sao Paulo, Brazil | |
dc.description.affiliationUnesp | Univ Estadual Paulista UNESP, Univ Cauca, Grp Invest Inteligencia Computac, Grp Pesquisa Nuevas Tecnol Informac,Dept Sistemas, Sao Paulo, Brazil | |
dc.description.affiliationUnesp | Univ Estadual Paulista UNESP, Grp Pesquisa Nuevas Tecnol Informac, Sao Paulo, Brazil | |
dc.format.extent | 651-672 | |
dc.identifier | http://dx.doi.org/10.5209/RGID.54719 | |
dc.identifier.citation | Revista General De Informacion Y Documentacion. Madrid: Univ Complutense Madrid, Servicio Publicaciones, v. 26, n. 2, p. 651-672, 2016. | |
dc.identifier.doi | 10.5209/RGID.54719 | |
dc.identifier.issn | 1132-1873 | |
dc.identifier.uri | http://hdl.handle.net/11449/159503 | |
dc.identifier.wos | WOS:000399044000013 | |
dc.language.iso | spa | |
dc.publisher | Univ Complutense Madrid, Servicio Publicaciones | |
dc.relation.ispartof | Revista General De Informacion Y Documentacion | |
dc.relation.ispartofsjr | 0,217 | |
dc.rights.accessRights | Acesso restrito | |
dc.source | Web of Science | |
dc.subject | Digital medical imaging | |
dc.subject | Metadata standards | |
dc.subject | Visual features | |
dc.subject | DICOM | |
dc.subject | FRBR | |
dc.subject | CBIR | |
dc.title | Conceptual representation of digital medical images: Integrating Context and Visual Content | en |
dc.type | Artigo | |
dcterms.rightsHolder | Univ Complutense Madrid, Servicio Publicaciones | |
dspace.entity.type | Publication |