@inproceedings{1ade4b30b3784bf29cd7a66dc4855386,
title = "RDF-ization of DICOM medical images towards linked health data cloud",
abstract = "This paper proposes a novel strategy for semantifying DICOM medical images (RDF-ization) automatically. We define an architecture that involves processes for extracting, anonymizing, and serializing metadata comprised in DICOM medical images into RDF/XML. These processes allow for semantically enriching and sharing the metadata of DICOM medical files through the Linked Health Data cloud. Thereby providing enhanced query capabilities with respect to the ones offered by current PACS environments, while exploiting all advantages of the Linking Open Data (LOD) cloud and Semantic Web technologies.",
keywords = "Automatic Semantic Annotation, Linked Health Data cloud, RDF-ization, Semantic Web, Visualization",
author = "Andr{\'e}s Tello and \{La Cruz\}, Alexandra and V{\'i}ctor Saquicela and Mauricio Espinoza and Vidal, \{Maria Esther\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 6th Latin American Congress on Biomedical Engineering, CLAIB 2014 ; Conference date: 29-10-2014 Through 31-10-2014",
year = "2015",
doi = "10.1007/978-3-319-13117-7\_193",
language = "Ingl{\'e}s",
series = "IFMBE Proceedings",
publisher = "Springer Verlag",
pages = "757--760",
editor = "Ariel Braidot and Alejandro Hadad",
booktitle = "VI Latin American Congress on Biomedical Engineering, CLAIB 2014",
}