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.

Objective.-The ultimate goal of the Syseo project is to create a chain of collaborative processes to allow the hepato-gastroenterology endoscopy specialist to manage images easily. Methods.-A field study has been done to better understand and formalize practices and contexts of use. Based on these results, we have designed tools for gastroenterology, tackling several domains of computer science and reusing well-known format or concepts especially DICOM files, semantic retrieval and infocus-breakpoint. Results.-Syseo consists in four main components: (1) a data management system relying on the well-known standard DICOM format; (2) a polyp ontology and description logics to manage gastroenterological images; (3) software to estimate the size of a neoplasia from colonoscopic images and (4) pearly user interfaces to enhance collaboration. Discussion.-Preliminary results of Syseo are quite promising since the proposed solutions enable to efficiently store, annotate, retrieve medical data, while providing relatively accurate measuring tools for physicians and medical staff.

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