Multimodal and Multimedia Image Analysis and Collaborative Networking for Digestive Endoscopy - Systèmes Interactifs et Cognitifs
Journal Articles Innovation and Research in BioMedical engineering Year : 2014

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: 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.
Fichier principal
Vignette du fichier
2014_irbm_syseo_PREPUBLICATION.pdf (1012.28 Ko) Télécharger le fichier
2014_IRBM_2.pdf (455.24 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-00953377 , version 1 (08-03-2019)

Identifiers

Cite

Laurent d'Orazio, Adrien Bartoli, Andre Baetz, Sylvain Beorchia, Gaëlle Calvary, et al.. Multimodal and Multimedia Image Analysis and Collaborative Networking for Digestive Endoscopy. Innovation and Research in BioMedical engineering, 2014, ⟨10.1016/j.irbm.2014.02.006⟩. ⟨hal-00953377⟩
927 View
95 Download

Altmetric

Share

More