A deep recurrent neural network with primal-dual optimization for CT metal artifact reduction.
Masaki IkutaJun ZhangPublished in: Medical Imaging: Image Processing (2022)
Keyphrases
- recurrent neural networks
- primal dual
- artifact reduction
- linear programming
- saddle point
- interior point methods
- approximation algorithms
- convex optimization problems
- linear program
- convex optimization
- affine scaling
- linear programming problems
- feed forward
- neural network
- recurrent networks
- interior point algorithm
- semidefinite programming
- convergence rate
- algorithm for linear programming
- complex valued
- compressed images
- artificial neural networks
- quadratic programming
- natural images
- multiresolution
- special case
- objective function
- feature extraction
- np hard
- computer vision
- markov random field
- image compression