Supervised Learning Modelization and Segmentation of Cardiac Scar in Delayed Enhanced MRI.
Laura Lara RodríguezSergio VeraFrederic PérezNico LanconelliRita MorisiBruno DoniniDario TurcoCristiana CorsiClaudio LambertiGiovana GavidiaMaurizio BordoneEduardo SoudahNick CurzenJames RosengartenJohn M. MorganJavier HerreroMiguel Ángel González BallesterPublished in: STACOM (2012)
Keyphrases
- supervised learning
- brain scans
- medical images
- mr imaging
- brain mri
- cardiac mri
- long axis
- magnetic resonance imaging
- mri images
- myocardial infarction
- mr images
- cardiac mr images
- image segmentation
- magnetic resonance images
- tagged mri
- carotid artery
- cardiac magnetic resonance
- brain tumor segmentation
- medical imaging
- partial volume
- image analysis
- intra subject
- tissue segmentation
- intensity distribution
- unsupervised learning
- training data
- computational fluid dynamics
- level set
- segmentation algorithm
- active learning
- accurate segmentation
- segmentation method
- brain tumors
- anatomical structures
- blood pool
- semi supervised
- learning algorithm
- brain atlas
- short axis
- phase contrast
- left ventricular
- brain structures
- mri data
- patient specific
- region growing
- mechanical properties
- bias field
- healthy volunteers
- left ventricle
- high resolution
- training set
- reinforcement learning
- deformable models
- fully automatic