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1. Large-Scale Biomedical Image Analysis in Grid Environments
Kumar, V.S.; Rutt, B.; Kurc, T.; Catalyurek, U.V.; Pan, T.C.; Chow, S.; Lamont, S.; Martone, M.; Saltz, J.H.;
Information Technology in Biomedicine, IEEE Transactions on
Volume 12,  Issue 2,  March 2008 Page(s):154 - 161
Abstract:

This paper presents the application of a component-based Grid middleware system for processing extremely large images obtained from digital microscopy devices. We have developed parallel, out-of-core techniques for different classes of data processing operations employed on images from confocal microscopy scanners. These techniques are combined into a data preprocessing and analysis pipeline using the component-based middleware system. The experimental results show that: 1) our implementation achieves good performance and can handle very large datasets on high-performance Grid nodes, consisting of computation and/or storage clusters and 2) it can take advantage of Grid nodes connected over high-bandwidth wide-area networks by combining task and data parallelism.
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