Prediction of cardiovascular risk by measuring carotid intima media thickness from an ultrasound image for type II diabetic mellitus subjects using machine learning and transfer learning techniques.
P. Lakshmi PrabhaA. K. JayanthyC. Prem KumarBalaji RamrajPublished in: J. Supercomput. (2021)
Keyphrases
- transfer learning
- carotid artery
- ultrasound images
- type ii
- machine learning
- risk factors
- learning tasks
- speckle noise
- knowledge transfer
- active learning
- deformable models
- reinforcement learning
- fully automated
- cross domain
- machine learning algorithms
- region growing
- text classification
- collaborative filtering
- manual segmentation
- learning algorithm
- statistical methods
- transfer knowledge
- ultrasound imaging
- text mining
- medical ultrasound
- magnetic resonance imaging
- labeled data
- target domain
- risk assessment
- domain adaptation
- natural language processing
- semi supervised learning
- support vector machine
- text categorization
- high dimensional
- training data
- feature selection
- computer vision