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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.
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Submitted on : Friday, March 8, 2019 - 6:00:23 PM
Last modification on : Tuesday, November 24, 2020 - 4:34:03 PM
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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, Elsevier Masson, 2014, ⟨10.1016/j.irbm.2014.02.006⟩. ⟨hal-00953377⟩

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