The Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods.
Gustavo CarneiroJacinto C. NascimentoAntónio FreitasPublished in: IEEE Trans. Image Process. (2012)
Keyphrases
- search methods
- left ventricle
- deep learning
- echocardiographic images
- cardiac mri
- fully automatic
- long axis
- blood pool
- cardiac mr images
- cardiac magnetic resonance
- cardiac mr
- heart wall
- short axis
- search algorithm
- wall thickness
- left ventricular
- wall motion
- unsupervised learning
- image analysis
- metaheuristic
- ultrasound images
- tagged mr images
- mental models
- magnetic resonance imaging
- machine learning
- weakly supervised
- semi automatic
- heart motion
- multiscale
- mr images
- cardiac cycle
- mri data
- neural network
- level set
- physiological parameters
- segmentation algorithm
- tagged mri
- particle swarm optimization
- object recognition
- segmentation method
- image segmentation
- image processing
- abnormality detection