Multimodal and Multimedia Image Analysis and Collaborative Networking for Digestive Endoscopy - Systèmes Interactifs et Cognitifs Accéder directement au contenu
Article Dans Une Revue Innovation and Research in BioMedical engineering Année : 2014

Multimodal and Multimedia Image Analysis and Collaborative Networking for Digestive Endoscopy

Résumé

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
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

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

Identifiants

Citer

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⟩
905 Consultations
75 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More