Related Experiment Video
Updated: Jul 8, 2026

06:48
Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
Published on: January 7, 2019
Optimization neural networks for the segmentation of magnetic resonance images
S C Amartur1, D Piraino, Y Takefuji
1Dept. of Radiol., Case Western Reserve Univ., Cleveland, OH.
IEEE Transactions on Medical Imaging
|January 1, 1992
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.