Autodetect extracranial and intracranial artery stenosis by machine learning using ultrasound.
Kai-Cheng HsuChing-Heng LinKory R. JohnsonChi-Hung LiuTing-Yu ChangKuo-Lun HuangYang-Cheng FannTsong-Hai LeePublished in: Comput. Biol. Medicine (2020)
Keyphrases
- carotid artery
- machine learning
- ultrasound images
- coronary artery
- fully automated
- deformable models
- active shape model
- manual segmentation
- region growing
- data mining
- pattern recognition
- machine learning methods
- automatic segmentation
- inductive learning
- inductive logic programming
- learning tasks
- text classification
- decision trees
- active learning
- contrast enhanced
- learning algorithm
- artificial intelligence
- computer vision
- feature selection
- explanation based learning
- magnetic resonance imaging
- computational intelligence
- support vector machine
- information extraction
- natural language processing
- x ray
- knowledge representation
- image analysis
- reinforcement learning
- statistical methods
- text mining
- learning systems
- neural network
- edge detection