DESCRIPTION LOGIC FOR AUTOMATIC CLASSIFICATION OF MAMMOGRAM REPORTS

Amel Boustil, Zaidi Sahnoun

Abstract

In this paper, we present a system for automatic classification of mammography reports, based on a radiological OWL DL ontology. The later describes radiological signs and categories of the BI-RADS classification established by American College of Radiology (ACR) in the OWL DL language. Our system is designed firstly to formalize content of mammogram reports written in free text driving by the ACR Ontology, then to infer relevant classes and corresponding attitude by using subsumption classification. Classification in our work is based on description logic by using OWL DL ontology and description logical reasoning system.

References

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Paper Citation


in Harvard Style

Boustil A. and Sahnoun Z. (2009). DESCRIPTION LOGIC FOR AUTOMATIC CLASSIFICATION OF MAMMOGRAM REPORTS . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009) ISBN 978-989-8111-63-0, pages 193-198. DOI: 10.5220/0001538701930198


in Bibtex Style

@conference{healthinf09,
author={Amel Boustil and Zaidi Sahnoun},
title={DESCRIPTION LOGIC FOR AUTOMATIC CLASSIFICATION OF MAMMOGRAM REPORTS},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009)},
year={2009},
pages={193-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001538701930198},
isbn={978-989-8111-63-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009)
TI - DESCRIPTION LOGIC FOR AUTOMATIC CLASSIFICATION OF MAMMOGRAM REPORTS
SN - 978-989-8111-63-0
AU - Boustil A.
AU - Sahnoun Z.
PY - 2009
SP - 193
EP - 198
DO - 10.5220/0001538701930198