Feature Space Clustering for Trabecular Bone Segmentation.
Benjamin KlintströmEva KlintströmÖrjan SmedbyRodrigo MorenoPublished in: SCIA (2) (2017)
Keyphrases
- feature space
- data points
- high dimensionality
- clustering algorithm
- clustering method
- dissimilarity measure
- image segmentation
- multiscale
- segmentation algorithm
- medical images
- segmentation method
- image segmentations
- image representation
- unsupervised clustering
- level set
- region growing
- data clustering
- fully automatic
- input space
- high dimensional
- segmentation accuracy
- dimensionality reduction
- kernel function
- feature vectors
- hierarchical clustering
- graph cuts
- categorical data
- agglomerative clustering
- object segmentation
- fully unsupervised
- energy function
- shape prior
- information theoretic
- mean shift
- image regions
- self organizing maps
- computer vision
- unsupervised learning
- principal component analysis
- feature extraction
- feature selection