Segmentation of retinal vessels with a hysteresis binary-classification paradigm.
Alexandru Paul ConduracheAlfred MertinsPublished in: Comput. Medical Imaging Graph. (2012)
Keyphrases
- binary classification
- retinal images
- vessel detection
- vessel segmentation
- blood vessels
- multi class
- learning problems
- support vector
- retinal blood vessels
- multi class classification
- support vector machine
- optic disc
- cost sensitive
- retinal vessel
- generalization error
- ensemble methods
- prediction accuracy
- image segmentation
- optical coherence tomography
- multi label
- fundus images
- retinal fundus images
- class imbalance
- vessel tree
- binary classifiers
- learning algorithm
- supervised learning
- magnetic resonance angiography
- cross validation
- learning tasks
- image processing
- machine learning