L-CO-Net: Learned Condensation-Optimization Network for Segmentation and Clinical Parameter Estimation from Cardiac Cine MRI.
S. M. Kamrul HasanCristian A. LintePublished in: EMBC (2020)
Keyphrases
- parameter estimation
- mr imaging
- myocardial infarction
- mri images
- maximum likelihood
- medical images
- brain scans
- mr images
- least squares
- magnetic resonance imaging
- cardiac imaging
- markov random field
- model selection
- left ventricle
- short axis
- magnetic resonance images
- left ventricular
- blood pool
- random fields
- model fitting
- parameter estimation algorithm
- magnetic resonance
- expectation maximization
- mri data
- medical imaging
- em algorithm
- image analysis
- segmentation method
- segmentation algorithm
- image segmentation
- brain tumors
- clinical applications
- healthy volunteers
- beating heart
- patient specific
- segmentation result
- fully automatic
- machine learning
- parameter estimates
- manual segmentation
- tagged mri
- region growing
- accurate segmentation
- carotid artery
- prior model
- data mining
- markov fields
- automatic segmentation
- energy function
- image processing