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Optimization neural networks for the segmentation of magnetic resonance images

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3 Author(s)
S. C. Amartur ; Dept. of Radiol., Case Western Reserve Univ., Cleveland, OH, USA ; D. Piraino ; Y. Takefuji

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 T2-weighted images in the head. The preliminary studies indicate that the number of iterations needed to reach `good' solutions was nearly constant with the number of clusters chosen for the problem

Published in:

IEEE Transactions on Medical Imaging  (Volume:11 ,  Issue: 2 )