Segmentation of focal cortical dysplasia lesions from magnetic resonance images using 3D convolutional neural networks.
S. NiyasS. Chethana VaisaliIwrin ShowT. G. ChandrikaS. VinayagamaniChandrasekharan KesavadasJeny RajanPublished in: Biomed. Signal Process. Control. (2021)
Keyphrases
- magnetic resonance images
- multiple sclerosis lesions
- subcortical structures
- brain mri
- convolutional neural networks
- gray matter
- brain mapping
- multiple sclerosis
- medical images
- partial volume
- lesion segmentation
- brain scans
- white matter
- brain tumors
- mr images
- medical imaging
- tissue segmentation
- cortical thickness
- brain structures
- mri images
- bias field
- brain tissue
- magnetic resonance imaging
- mri data
- high resolution
- grey matter
- medical image analysis
- brain mr images
- partial volume effects
- diffusion tensor
- intensity distribution
- corpus callosum
- manual segmentation
- cerebrospinal fluid
- brain segmentation
- image analysis
- brain tumor segmentation
- magnetic resonance
- image segmentation
- fully automatic
- positron emission tomography
- mr imaging
- segmentation algorithm
- level set
- accurate segmentation
- pattern recognition