Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation.
Chenglong WangMasahiro OdaYuichiro HayashiYasushi YoshinoTokunori YamamotoAlejandro F. FrangiKensaku MoriPublished in: Medical Image Anal. (2020)
Keyphrases
- segmentation method
- graph cuts
- energy function
- segmentation algorithm
- blood vessels
- image segmentation
- shape prior
- object segmentation
- energy minimization
- min cut
- region growing
- markov random field
- segmentation procedure
- segmentation result
- belief propagation
- interactive segmentation
- automatic segmentation
- superpixels
- shape model
- active contour model
- segmented images
- low contrast
- active contours
- mean shift
- region merging
- image intensity
- carotid artery
- watershed segmentation
- interactive image segmentation
- graph cut segmentation
- higher order
- segmentation scheme
- structure tensor
- active shape model
- segmentation accuracy
- manual segmentation
- graph based image segmentation
- image segmentation algorithm
- regularization term
- foreground objects
- energy functional
- ultrasound images
- level set