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The application of the Hopfield neural network for the multispectral unsupervised classification of MR images is reported. Winner-take-all neurons were used to obtain a crisp classification map using proton density-weighted and T(2)-weighted images in the head. The preliminary studies indicate that the number of iterations needed to reach ;good' solutions(More)
OBJECTIVE The objectives of this study were to determine the frequency of a third head of the gastrocnemius and to describe the course, morphology, and insertion of the third head as seen on the basis of routine magnetic resonance (MR) imaging of the knee. MATERIALS AND METHODS This study was a prospective study of 1,039 consecutive knee MR examinations(More)
The presentation will focus on the implementation and utilization of a central picture archiving and communications system (PACS) network-monitoring tool that allows for enterprise-wide operations management and support of the image distribution network. The MagicWatch (Siemens, Iselin, NJ) PACS/radiology information system (RIS) monitoring station from(More)
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