Multimodal and multimedia image analysis and collaborative networking for digestive endoscopy

Abstract

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.

Software for enhanced video capsule endoscopy: challenges for essential progress

“…The efficient management of the accumulating amount of data can be facilitated by cloud computing platforms 126 and big data technologies that are capable of coping with very large datasets. 127 Cloud platforms enable ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources such as networks, servers, storage, applications and services.…”