A multi-task learning framework for carotid plaque segmentation and classification from ultrasound images.
Haitao GanRan ZhouYanghan OuFurong WangXinyao ChengXiaoyan WuAaron FensterPublished in: CoRR (2023)
Keyphrases
- ultrasound images
- carotid artery
- multi task learning
- multi task
- medical ultrasound
- ultrasound imaging
- speckle noise
- active contour segmentation
- edge detection
- region growing
- deformable models
- fully automated
- image segmentation
- learning tasks
- machine learning
- model selection
- level set
- feature vectors
- multiscale
- decision trees
- feature selection
- fully automatic
- medical images
- supervised learning
- support vector machine
- automatic segmentation
- probabilistic model
- support vector
- feature extraction