Segmentation of MR images with intensity inhomogeneities
- 1 March 1998
- journal article
- Published by Elsevier BV in Image and Vision Computing
- Vol. 16 (3), 165-180
- https://doi.org/10.1016/s0262-8856(97)00067-x
Abstract
No abstract availableKeywords
This publication has 29 references indexed in Scilit:
- Statistical approach to segmentation of single-channel cerebral MR imagesIEEE Transactions on Medical Imaging, 1997
- Unsupervised vector image segmentation by a tree structure-ICM algorithmIEEE Transactions on Medical Imaging, 1996
- Bayesian image classification using Markov random fieldsImage and Vision Computing, 1996
- Cerebral Magnetic Resonance Image Segmentation Using Data FusionJournal of Computer Assisted Tomography, 1996
- Selection of MR images for automated segmentationJournal of Magnetic Resonance Imaging, 1995
- Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentationIEEE Transactions on Image Processing, 1994
- Correction of intensity variations in MR images for computer-aided tissue classificationIEEE Transactions on Medical Imaging, 1993
- Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealingIEEE Transactions on Pattern Analysis and Machine Intelligence, 1989
- Intensity correction in surface-coil MR imagingAmerican Journal of Roentgenology, 1987
- Optimization by Simulated AnnealingScience, 1983