A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain.
Lawrence O. HallAmine BensaidLaurence P. ClarkeRobert P. VelthuizenMartin L. SilbigerJames C. BezdekPublished in: IEEE Trans. Neural Networks (1992)
Keyphrases
- fuzzy clustering
- magnetic resonance images
- brain tissue
- neural network
- mri scans
- tissue segmentation
- brain tumors
- diffusion weighted
- medical images
- mri brain
- fuzzy c means
- mr images
- brain structures
- white matter
- brain atlas
- fuzzy clustering algorithm
- magnetic resonance imaging
- medical imaging
- fuzzy clustering algorithms
- fuzzy c means algorithm
- mri data
- clustering algorithm
- fuzzy clustering method
- gray matter
- corpus callosum
- partial volume effects
- membership functions
- artificial neural networks
- brain images
- diffusion tensor
- mri images
- pattern recognition
- fuzzy c means clustering algorithm
- high resolution
- cluster analysis
- partial volume
- medical image analysis
- brain mr images
- fuzzy logic
- accurate segmentation
- magnetic resonance
- human brain
- cerebrospinal fluid
- image segmentation
- pattern classification
- information processing
- diffusion mri
- input image
- computer vision
- genetic algorithm
- machine learning
- data mining