Multiresolution adaptive K-means algorithm for segmentation of brain MRI
- 1 January 1995
- book chapter
- Published by Springer Nature
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Three-dimensional segmentation and interpolation of magnetic resonance brain imagesIEEE Transactions on Medical Imaging, 1993
- Method for Quantification of Brain, Ventricular, and Subarachnoid CSF Volumes from MR ImagesJournal of Computer Assisted Tomography, 1992
- Ten Lectures on WaveletsPublished by Society for Industrial & Applied Mathematics (SIAM) ,1992
- Multiple resolution segmentation of textured imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- 3D reconstruction of the brain from magnetic resonance images using a connectivity algorithmMagnetic Resonance Imaging, 1987
- Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random FieldsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984
- On the Foundations of Relaxation Labeling ProcessesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1983
- Scene Labeling by Relaxation OperationsIEEE Transactions on Systems, Man, and Cybernetics, 1976