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Automated clinical image data collection tools and apparatus are becoming increasingly important to the medical industry, and imaging databases are growing at an unprecedented rate. Consequently, grid-based telemedicine efforts require the autonomous classification of patient images from distributed sources for fast and accurate image storage, management, and retrieval. In this paper, we present a...
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