On the usefulness of supervised learning for vessel border detection in IntraVascular Imaging.
Aura HernandezDebora GilPetia RadevaPublished in: CCIA (2005)
Keyphrases
- supervised learning
- optical coherence tomography
- fundus images
- automatic detection
- false positives
- intravascular ultrasound
- detection accuracy
- ultrasound images
- imaging systems
- retinal images
- detection method
- image processing
- detection rate
- unsupervised learning
- high resolution
- image analysis
- object detection
- false alarms
- training set
- data sets
- multiscale
- reinforcement learning
- computed tomography angiography
- detection algorithm
- vessel detection
- supervised machine learning
- radio frequency
- cross sectional
- active learning
- learning tasks