Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-Shape Priors for Image Segmentation.
Jun LiuXiangyue WangXue-Cheng TaiPublished in: J. Math. Imaging Vis. (2022)
Keyphrases
- shape prior
- image segmentation
- convolutional neural networks
- variational formulation
- variational framework
- graph cuts
- active contours
- deformable models
- level set
- object boundaries
- shape model
- object segmentation
- energy function
- prior information
- energy functional
- convolutional network
- mumford shah
- segmentation algorithm
- shape variations
- spatial information
- curve evolution
- mumford shah functional
- shape representation
- statistical models
- level set based segmentation
- segmentation method
- level set segmentation
- user interaction
- active contour model
- level set method
- statistical shape
- prior knowledge
- variational segmentation
- global optimization
- pose invariant
- robust segmentation
- bayesian framework
- multiscale
- markov random field
- interactive segmentation
- active shape model
- regularization term
- computer vision
- image analysis
- graph cut segmentation
- medical imaging
- energy minimization
- region growing