Medical data management in the SYSEO project

Authors:
Yahia Chabane;Laurent d'Orazio;Le Gruenwald;Baraa Mohamad;Christophe Rey
Affiliations:
Blaise Pascal University, LIMOS UMR 6158, CNRS, Clermont-Ferrand, France;Blaise Pascal University, LIMOS UMR 6158, CNRS, Clermont-Ferrand, France;Blaise Pascal University, LIMOS UMR 6158, CNRS, Clermont-Ferrand, France;Blaise Pascal University, LIMOS UMR 6158, CNRS, Clermont-Ferrand, France;Blaise Pascal University, LIMOS UMR 6158, CNRS, Clermont-Ferrand, France
Venue:
ACM SIGMOD Record
Year:
2013

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Abstract

The SYSEO project aims at producing a software solution suitable for endoscopic imaging in order to enable physicians to manage, manipulate and share medical images. This paper presents our two main components for data management in this system: (1) a novel hybrid rowcolumn database for medical data storage within the cloud and (2) a system for semantic image annotation and retrieval relying on an ontology for polyps.