Segmentation of head MR images using hybrid neural networks of unsupervised learning.
Toshimitsu OtaniKazuhito SatoHirokazu MadokoroAtsushi InugamiPublished in: IJCNN (2010)
Keyphrases
- mr images
- hybrid neural
- accurate segmentation
- medical images
- brain mr images
- magnetic resonance
- partial volume
- brain tumors
- mr brain
- magnetic resonance images
- intensity inhomogeneity
- brain structures
- neural network
- manual segmentation
- dice similarity coefficient
- cardiac magnetic resonance
- mr imaging
- bias field
- mr brain images
- brain mri
- intensity distribution
- nonrigid registration
- hopfield neural network
- mri data
- image data
- contrast enhanced
- tissue segmentation
- brain segmentation
- phantom images
- brain tissue
- segmentation algorithm
- inhomogeneity correction
- medical imaging
- automatic segmentation
- level set
- learning rules
- model based segmentation
- region growing
- image segmentation
- image intensity
- quantitative measurements
- brain images
- ct images
- inter patient
- anatomical structures
- feature selection
- image volumes
- edge detection
- atlas based segmentation
- adaptive thresholding
- segmentation method