"SARS: Neural-net scanner promises early detection of SARS"
Researcher Harold Szu, working at the Naval Research Laboratory (Arlington, Va.), has turned advanced target recognition technology into what he hopes will be a method for containing the spread of SARS. His 200-channel infrared body scanner, equipped with an unsupervised-learning Lagrange constraint neural network (LCNN) algorithm, can see into the body at any depth and resolve local hotspots-a sign of diseased cells.
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Text: http://www.eetimes.com/story/OEG20030616S0069