Multimodal and multimedia image analysis and collaborative networking for digestive endoscopy

ObjectiveThe 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.MethodsA 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.ResultsSyseo 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.DiscussionPreliminary 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.