Fully Automated Spleen Localization And Segmentation Using Machine Learning And 3D Active Contours.
Alexander WoodS. M. Reza SoroushmehrNegar FarzanehDavid Paul FessellKevin R. WardJonathan GryakDelaram KahrobaeiKayvan NajarianPublished in: EMBC (2018)
Keyphrases
- fully automated
- active contours
- level set
- geodesic active contours
- shape prior
- segmentation method
- machine learning
- fully automatic
- automated segmentation
- image segmentation
- cardiac ultrasound images
- gradient vector flow
- active contour model
- variational segmentation
- manual segmentation
- texture image segmentation
- energy function
- energy functional
- active contour segmentation
- object boundaries
- curve evolution
- region based active contours
- level set method
- geometric active contours
- external force
- image segmentation methods
- object segmentation
- region growing
- carotid artery
- gradient flow
- automatic segmentation
- prior shape knowledge
- variational framework
- segmentation algorithm
- semi automatic
- computer vision
- minimal path
- segmented images
- force field
- deformable models
- vector field
- graph cuts
- medical images
- shape variations
- image processing
- object segmentation and tracking