Towards applying content-based image retrieval in the clinical routine
Future Generation Computer Systems
Parallel processing for image and video processing: Issues and challenges
Parallel Computing
Future Generation Computer Systems
Pervasive access to MRI bias artifact suppression service on a grid
IEEE Transactions on Information Technology in Biomedicine
Servicing seismic and oil reservoir simulation data through grid data services
DMG 2005 Proceedings of the First VLDB conference on Data Management in Grids
The application of grid computing to real-time functional MRI analysis
ISPA'04 Proceedings of the Second international conference on Parallel and Distributed Processing and Applications
Grid technology for biomedical applications
VECPAR'04 Proceedings of the 6th international conference on High Performance Computing for Computational Science
A Decentralized Periodic Replication Strategy Based on Knapsack Problem
GRID '12 Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing
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The availability of digital imagers inside hospitalsand their ever growing inspection capabilities have establisheddigital medical images as a key component ofmany pathologies diagnosis, follow-up and treatment.To face the growing image analysis requirements, automatedmedical image processing algorithms have beendeveloped over the two past decades.In parallel, medicalimage databases have been set up in health centers.Some attempts have been made to cross data comingfrom different origins for studies involving largedatabases.Grid technologies appear to be a promisingtool to face the raising challenges of computationalmedicine.They offer wide area access to distributeddatabases in a secured environment and they bring thecomputational power needed to complete some largescale statistical studies involving image processing.Inthis paper, we review grid-related requirements of medicalapplication that we illustrate through two real examples.