Automatic 3D liver location and segmentation via convolutional neural network and graph cut.
Fang LuFa WuPeijun HuZhiyi PengDexing KongPublished in: Int. J. Comput. Assist. Radiol. Surg. (2017)
Keyphrases
- graph cuts
- shape prior
- segmentation algorithm
- convolutional neural network
- energy function
- graph cut segmentation
- object segmentation
- graph based image segmentation
- interactive segmentation
- image segmentation
- interactive image segmentation
- spatial coherence
- random walker
- markov random field
- energy minimization
- min cut
- graph cut optimization
- fully automatic
- labeling problems
- region growing
- foreground background segmentation
- chan vese
- segmentation method
- geodesic active contours
- multi label
- belief propagation
- globally optimal
- face detection
- automatic segmentation
- level set
- segmentation accuracy
- mean shift
- normalized cut
- robust segmentation
- segmentation result
- medical images
- ordering constraints
- superpixels
- user interaction
- deformable models
- max flow
- prior shape
- energy functional
- object categories
- ct images