title: Optimization neural networks for the segmentation of magnetic resonance images.
abstract: 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 was nearly constant with the number of clusters chosen for the problem.
authors.affiliation: Dept. of Radiol., Case Western Reserve Univ., Cleveland, OH.
authors.forename: S C
authors.initials: SC
authors.lastname: Amartur
authors.forename: D
authors.initials: D
authors.lastname: Piraino
authors.forename: Y
authors.initials: Y
authors.lastname: Takefuji