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Authors: Yahia Chabane and Christophe Rey

Affiliation: Clermont Université, France

ISBN: 978-989-8565-81-5

Keyword(s): Semantic Medical Image Retrieval, Polyp Ontology, Local Subsumption, Annotation.

Related Ontology Subjects/Areas/Topics: Applications and Case-studies ; Artificial Intelligence ; Data Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Acquisition ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Ontology Sharing and Reuse ; Symbolic Systems

Abstract: In gastroenterology, monitoring polyps is fundamental in order to detect a cancer. It may be difficult for surgeons to decide whether he should remove a polyp or not. A wrong decision may generate unjustified costs or be dangerous for the patient health. To help their diagnosis, physicians may need images of previously treated cases. For this purpose, we present in this paper a semantic image retrieval approach focused on endoscopic gastroenterological images. This approach is based on a slight extension of classical description logic reasonings, associated with a polyp ontology and a suited image annotation mechanism.

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Paper citation in several formats:
Chabane, Y.; Rey, C. and Rey, C. (2013). Semantic Gastroenterological Images Annotation and Retrieval - Reasoning with a Polyp Ontology.In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013) ISBN 978-989-8565-81-5, pages 293-300. DOI: 10.5220/0004549202930300

@conference{keod13,
author={Yahia Chabane. and Christophe Rey. and Christophe Rey.},
title={Semantic Gastroenterological Images Annotation and Retrieval - Reasoning with a Polyp Ontology},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)},
year={2013},
pages={293-300},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004549202930300},
isbn={978-989-8565-81-5},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)
TI - Semantic Gastroenterological Images Annotation and Retrieval - Reasoning with a Polyp Ontology
SN - 978-989-8565-81-5
AU - Chabane, Y.
AU - Rey, C.
AU - Rey, C.
PY - 2013
SP - 293
EP - 300
DO - 10.5220/0004549202930300

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