Liver CT sequence segmentation based with improved U-Net and graph cut.
Zhe LiuYu-Qing SongVictor S. ShengLiangmin WangRui JiangXiaolin ZhangDeqi YuanPublished in: Expert Syst. Appl. (2019)
Keyphrases
- graph cuts
- segmentation algorithm
- shape prior
- energy function
- graph cut segmentation
- image segmentation
- object segmentation
- interactive segmentation
- ct images
- interactive image segmentation
- spatial coherence
- ct data
- automatic segmentation
- graph based image segmentation
- random walker
- energy minimization
- foreground background segmentation
- min cut
- white blood
- markov random field
- ct scans
- medical images
- image slices
- globally optimal
- chan vese
- segmentation method
- graph cut optimization
- computed tomography
- labeling problems
- robust segmentation
- geodesic active contours
- mean shift
- region growing
- shape model
- medical imaging
- normalized cut
- belief propagation
- segmentation accuracy
- segmentation result
- level set
- three dimensional
- image analysis
- image processing
- graph partitioning
- energy functional
- lymph nodes
- x ray
- fully automatic
- max flow
- regularization term
- superpixels
- user interaction
- active contours
- deformable models