Optimization neural networks for the segmentation of magnetic resonance images.
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.
Amartur
S C
SC
Dept. of Radiol., Case Western Reserve Univ., Cleveland, OH.
Piraino
D
D
Takefuji
Y
Y