Projects involving ONCO-MEDIA partners, related to the medcal images and/or the grid computing

Multimodal analysis for diagnosing interstitial lung disease, University Hospitals of Geneva, Service of Medical Informatics, University Hospitals of Geneva, Service of Emergency Radiology

Grid-enabled Know-how Sharing Technology Based on ARC Services and Open Standards (KnowARC). The KnowARC project aspires to improve and extend the existing state-of-the-art technology found in the Advanced Resource Connector (ARC) middleware, which provides a set of reliable, robust, non-intrusive, well-tested core services.

GNU image finding tool

Integrated Biomedical Informatics for the Management of Cerebral Aneurysms.  @neurIST is focussed on cerebral aneurysms and intends to provide an integrated decision support system to assess the risk of aneurysm rupture in patients and to optimize their treatments.

Talisman

MedGIFT

Know-ARC

@neurIST

medGIFT@neurIST

ONCO-MEDIA

ONtology and COntext related MEdical image Distributed Intelligent Access

 

Regional program ICT-Asia, Research – Innovation, 2006 – 2010

Adjacent Projects

ImageCLEFmed is part of the Cross Language Evaluation Forum (CLEF), a benchmarking event for multilingual information retrieval held annually since 2000. CLEF first began as a track in the Text Retrieval Conference (TREC). A multilingual image retrieval track started in 2003, and in 2004 a medical image retrieval track was added. More information can be found on the main ImageCLEF pages. More information about ImageCLEF can be found on its Web site at www.imageclef.org.

ImageCLEFmed

Image CLEF MedKnowARC

International collaboration involving researchers from Japan, the Philippines, and Taiwan to study and demonstrate the idea of using grid technology for medical applications.

Medgrid

Software technologies for integration

of process, data and knowledge in

medical imaging.

NeuroLOG

CNRS - French National Center for Scientific Research MAE - French Ministry of Foreign Affairs

Multimedia Medical Conceptual Web for Intelligent Information Access.

MmedWeb project proposes to develop a framework for the semantic structuring and organization of multimedia medical information, including medical images and medical reportsProposed.

MMedWeb

Texture Analysis of Lung ImageS for Medical diagnosis AssistaNce