Myocardial segmentation in cardiac magnetic resonance images using fully convolutional neural networks.
Liset Vázquez RomagueraFrancisco Perdigón RomeroCicero Ferreira Fernandes Costa FilhoMarly Guimarães Fernandes CostaPublished in: Biomed. Signal Process. Control. (2018)
Keyphrases
- magnetic resonance images
- myocardial motion
- brain mri
- convolutional neural networks
- medical images
- partial volume
- mri images
- brain scans
- cardiac mri
- mr images
- brain tumors
- intra subject
- short axis
- tissue segmentation
- medical imaging
- multiple sclerosis lesions
- left ventricular
- mri data
- magnetic resonance imaging
- cardiac mr images
- brain structures
- accurate segmentation
- myocardial infarction
- tagged mri
- white matter
- bias field
- magnetic resonance
- mr imaging
- manual segmentation
- left ventricle
- intensity distribution
- medical image analysis
- brain tumor segmentation
- gray matter
- brain tissue
- high resolution
- phase contrast
- diffusion tensor
- anatomical structures
- brain mr images
- partial volume effects
- image segmentation
- multiscale
- level set
- segmentation method
- deformable models
- fully automatic
- patient specific
- segmentation algorithm
- diffusion weighted
- imaging modalities
- computer vision
- carotid artery