Myocardial scar segmentation from magnetic resonance images using convolutional neural network.
Fatemeh ZabihollahyJames A. WhiteEranga UkwattaPublished in: Medical Imaging: Computer-Aided Diagnosis (2018)
Keyphrases
- magnetic resonance images
- brain mri
- convolutional neural network
- medical images
- mr images
- brain scans
- accurate segmentation
- partial volume
- brain tumors
- medical imaging
- tissue segmentation
- mri images
- multiple sclerosis lesions
- magnetic resonance
- bias field
- brain structures
- myocardial motion
- phase contrast
- magnetic resonance imaging
- white matter
- brain tissue
- mri data
- diffusion tensor
- intensity distribution
- brain tumor segmentation
- partial volume effects
- brain mr images
- image segmentation
- medical image analysis
- segmentation result
- segmentation algorithm
- face detection
- short axis
- manual segmentation
- left ventricular
- segmentation method
- corpus callosum
- brain images
- gray matter
- fully automatic
- diffusion weighted
- image data
- left ventricle
- image analysis
- deformable models
- nonrigid registration
- region growing
- shape prior
- image intensity
- level set
- object recognition