Enhancing Retinal OCT Scans via Metaheuristic-Driven Bayesian Speckle Denoising.
Oscar Ramos-SotoÁngel Casas-OrdazDiego OlivaSandra E. Balderas-MataSaúl Zapotecas MartínezPublished in: CBMS (2024)
Keyphrases
- metaheuristic
- denoising
- optical coherence tomography
- oct images
- tabu search
- retinal images
- ant colony optimization
- simulated annealing
- image denoising
- optimization problems
- scatter search
- search space
- combinatorial optimization
- imaging modalities
- genetic algorithm
- particle swarm optimization
- optimal solution
- low contrast
- iterated local search
- image processing
- vehicle routing problem
- path relinking
- nature inspired
- ant colony optimization metaheuristic
- ultrasound images
- total variation
- multi start
- guided local search
- solution space
- noise reduction
- bayesian networks
- coronary artery
- hybrid metaheuristic
- harmony search
- decision trees
- search algorithm
- evolutionary algorithm
- variable neighborhood search
- maximum likelihood
- benchmark instances
- bayesian inference
- graphical models
- traveling salesman problem
- blood vessels