Multimodal and Multimedia Image Analysis and Collaborative Networking for Digestive Endoscopy
In Innovation and Research in BioMedical Engineering (IRBM) 35(2). pages 88-93. 2014.
Laurent d'Orazio, Adrien Bartoli, Andre Baetz, Sylvain Beorchia, Gaëlle Calvary, Yahia Chabane, Francois Chadebecq, Toby Collins, Yann Laurillau, Laure Martins-Baltar, Baraa Mohamad, Thierry Ponchon, Christophe Rey, Christophe Tilmant, Serge Torti
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: Syseo contributes to several domains of computer science. First, the proposed storage system relies on DICOM, one of the most important medical standards.
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) measuring tools to estimate the size of neoplasias from 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.