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Multimodal medical case retrieval using the Dezert-Smarandache theory.
Quellec G., Lamard M., Cazuguel G., Roux C., Cochener B.
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 1 (2008) 394-7 - http://www.hal.inserm.fr/inserm-00331184/en/
 (19162676) 
Multimodal medical case retrieval using the Dezert-Smarandache theory.
Gwénolé Quellec1, 2, Mathieu Lamard () 1, Guy Cazuguel1, 2, Christian Roux1, 2, Béatrice Cochener1, 3
1:  LATIM - Laboratoire de Traitement de l'Information Medicale
INSERM : U650 – Université de Bretagne Occidentale - Brest – Institut Télécom – Télécom Bretagne – Centre hospitalier universitaire de Brest – Université européenne de Bretagne
Hopital Morvan, 5 Avenue Foch, 29609 Brest Cedex
France
2:  Télécom Bretagne
Institut Télécom – Télécom Bretagne
Technopôle de Brest-Iroise, CS 838 18 29238 Brest cedex
France
3:  Service d'ophtalmologie
CHU Brest
France
Most medical images are now digitized and stored with semantic information, leading to medical case databases. They may be used for aid to diagnosis, by retrieving similar cases to those in examination. But the information are often incomplete, uncertain and sometimes conflicting, so difficult to use. In this paper, we present a Case Based Reasoning (CBR) system for medical case retrieval, derived from the Dezert-Smarandache theory, which is well suited to handle those problems. We introduce a case retrieval specific frame of discernment theta, which associates each element of theta with a case in the database; we take advantage of the flexibility offered by the DSmT's hybrid models to finely model the database. The system is designed so that heterogeneous sources of information can be integrated in the system: in particular images, indexed by their digital content, and symbolic information. The method is evaluated on two classified databases: one for diabetic retinopathy follow-up (DRD) and one for screening mammography (DDSM). On these databases, results are promising: the retrieval precision at five reaches 81.8% on DRD and 84.8% on DDSM.
Life Sciences/Biomedical engineering
English
1557-170X

Peer-reviewed article
10.1109/IEMBS.2008.4649173
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society. (Conf Proc IEEE Eng Med Biol Soc)
Publisher Institute of Electrical and Electronics Engineers (IEEE)
ISSN 1557-170X 
international
2008
1
394-7

Case based reasoning – Dezert-Smarandache theory – Diabetic Retinopathy – Image indexing – Mammography
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