Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace Filtering.
Matthias SchneiderSven HirschGábor SzékelyBruno WeberBjoern H. MenzePublished in: MCV (2012)
Keyphrases
- steerable filters
- random forests
- vessel detection
- decision tree ensembles
- random forest
- retinal images
- decision trees
- blood vessels
- machine learning algorithms
- logistic regression
- ensemble methods
- computer vision
- principal component analysis
- pattern recognition
- dimensionality reduction
- feature space
- high dimensional data
- high dimensional