Researchers at the University of Louisville have developed a new algorithm for automatically and accurately separating and extracting objects from medical images, such as MRI and CT scans.
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• Cost-efficient: no need for expensive heavy metal plates and bolts • Efficient configuration: monolithic • Highly versatile: 2D and 3D materials with predictable shrinkage • Rapid processing time through dip-coating
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Highly sensitivePoint-of-care testingIncreases the overall efficiency of the blood analysis process
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Significantly better power efficiencyFast turn on capabilityDecreased thermal gradient
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Properly detects and identifies inter-crystal scatter Retrieves depth-of-interaction (DOI) information that improves spatial resolution uniformity
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