TY - GEN
T1 - A semantically-aided approach for online annotation and retrieval of medical images
AU - Kyriazos, George K.
AU - Gerostathopoulos, Ilias Th
AU - Kolias, Vassileios D.
AU - Stoitsis, John S.
AU - Nikita, Konstantina S.
PY - 2011/12/26
Y1 - 2011/12/26
N2 - The need for annotating the continuously increasing volume of medical image data is recognized from medical experts for a variety of purposes, regardless if this is medical practice, research or education. The rich information content latent in medical images can be made explicit and formal with the use of well-defined ontologies. Evolution of the Semantic Web now offers a unique opportunity of a web-based, service-oriented approach. Remote access to FMA and ICD-10 reference ontologies provides the ontological annotation framework. The proposed system utilizes this infrastructure to provide a customizable and robust annotation procedure. It also provides an intelligent search mechanism indicating the advantages of semantic over keyword search. The common representation layer discussed facilitates interoperability between institutions and systems, while semantic content enables inference and knowledge integration.
AB - The need for annotating the continuously increasing volume of medical image data is recognized from medical experts for a variety of purposes, regardless if this is medical practice, research or education. The rich information content latent in medical images can be made explicit and formal with the use of well-defined ontologies. Evolution of the Semantic Web now offers a unique opportunity of a web-based, service-oriented approach. Remote access to FMA and ICD-10 reference ontologies provides the ontological annotation framework. The proposed system utilizes this infrastructure to provide a customizable and robust annotation procedure. It also provides an intelligent search mechanism indicating the advantages of semantic over keyword search. The common representation layer discussed facilitates interoperability between institutions and systems, while semantic content enables inference and knowledge integration.
UR - http://www.scopus.com/inward/record.url?scp=84862248365&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862248365&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2011.6090662
DO - 10.1109/IEMBS.2011.6090662
M3 - Conference contribution
C2 - 22254818
AN - SCOPUS:84862248365
SN - 9781424441211
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 2372
EP - 2375
BT - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
T2 - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Y2 - 30 August 2011 through 3 September 2011
ER -