Parameter Optimization for Local Polynomial Approximation based Intersection Confidence Interval Filter Using Genetic Algorithm: An Application for Brain MRI Image De-Noising.
Nilanjan DeyAmira S. AshourSamsad BeagumDimitra Sifaki PistolaMitko GospodinovEvgeniya GospodinovaJoão Manuel R. S. TavaresPublished in: J. Imaging (2015)
Keyphrases
- parameter optimization
- polynomial approximation
- confidence intervals
- genetic algorithm
- mri images
- denoising
- brain tissue
- brain tumors
- genetic algorithm ga
- pointwise
- magnetic resonance images
- differential evolution
- sample size
- fitness function
- medical images
- mri data
- parameter estimation
- human brain
- image denoising
- parameter settings
- brain images
- markov chain
- evolutionary algorithm
- lower bound
- simulated annealing
- roc curve
- magnetic resonance imaging
- test set
- monte carlo
- data sets
- upper bound
- support vector machine
- least squares
- particle swarm optimization
- genetic programming
- imaging modalities
- data mining