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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/29191
Title: An automatic method for the enrichment of DICOM metadata using biomedical ontologies
Authors: Pérez Rocano, Wilson Rodrigo
La Cruz Puente Alexandra
Saquicela Galarza, Víctor Hugo
Tello Guerrero, Marco Andrés
metadata.dc.ucuenca.nombrerevista: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC 2015
Issue Date: 25-Aug-2015
metadata.dc.ucuenca.embargoend: 1-Jan-2022
metadata.dc.ucuenca.volumen: 2015-November
metadata.dc.source: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
metadata.dc.identifier.doi: 10.1109/EMBC.2015.7318912
metadata.dc.type: Article
This work is a novel contribution for enriching medical images using semantic annotations with a strategy for unifying different ontologies and instances of DICOM medical files. We present the L-MOM library (Library for Mapping of Ontological Metadata) as a tool for making an automatic mapping between instances of DICOM medical files and different medical ontologies (e.g., FMA, RadLex, MeSH). The main contributions are: i) the domain independent L-MOM library which is able to integrate DICOM metadata with ontologies from different domains; ii) a strategy to automatically annotate DICOM data with universally accepted medical ontologies, and provide values of similarity between ontologies and DICOM metadata; and iii) a framework to traverse ontological concepts that characterized clinical studies of patients registered in the framework catalog.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953317305&doi=10.1109%2fEMBC.2015.7318912&partnerID=40&md5=b82506213c0f0a5e71fad98de7a501f1
ISBN: 9781424492718
ISSN: 1557170X
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