loading
Papers

Research.Publish.Connect.

Paper

Authors: Emna Amdouni and Bernard Gibaud

Affiliation: E-health department, B-com Institute of Research and Technology, Rennes, France, LTSI Inserm 1099, Université de Rennes 1, Rennes and France

ISBN: 978-989-758-330-8

Keyword(s): Medical Domain Ontology, Knowledge Representation, Ontology Reuse and Alignment.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaboration and e-Services ; e-Business ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Ontology Matching and Alignment ; Ontology Sharing and Reuse ; Semantic Web ; Soft Computing ; Symbolic Systems

Abstract: The main objective of this work is to facilitate the identification, sharing and reasoning about cerebral tumors observations via the formalization of their semantic meanings in order to facilitate their exploitation in both the clinical practice and research. We have focused our analysis on the VASARI terminology as a proof of concept, but we are convinced that our work can be useful in other biomedical imaging contexts. In this paper, we propose (1) a methodology, a domain ontology and an annotation tool for providing unambiguous formal definitions of neuroimaging data, (2) an experimental work on the REMBRANDT dataset to demonstrate the added value of our work over existing methods, namely DICOM SR and the AIM model.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.205.176.85

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Amdouni, E. and Gibaud, B. (2018). Semantic Representation of Neuroimaging Observations: Proof of Concept based on the VASARI Terminology.In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-330-8, pages 63-74. DOI: 10.5220/0006931100630074

@conference{keod18,
author={Emna Amdouni. and Bernard Gibaud.},
title={Semantic Representation of Neuroimaging Observations: Proof of Concept based on the VASARI Terminology},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2018},
pages={63-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006931100630074},
isbn={978-989-758-330-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Semantic Representation of Neuroimaging Observations: Proof of Concept based on the VASARI Terminology
SN - 978-989-758-330-8
AU - Amdouni, E.
AU - Gibaud, B.
PY - 2018
SP - 63
EP - 74
DO - 10.5220/0006931100630074

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.