An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images.
Alexandros ArjmandVasileios ChristouIoannis G. TsoulosMarkos G. TsipourasAlexandros T. TzallasChristos GogosEuripidis GlavasNikolaos GiannakeasPublished in: Array (2021)
Keyphrases
- optimization method
- evolutionary algorithm
- differential evolution
- image classification
- optimization process
- optimization methods
- genetic algorithm
- particle swarm
- input image
- optimization algorithm
- multi objective
- global optimum
- simulated annealing
- optimization problems
- evolutionary computation
- image features
- image data
- optimization procedure
- image registration
- mutation operator
- metaheuristic
- hybrid algorithm
- fitness function
- nonlinear optimization
- test images
- feature vectors
- image retrieval
- neural network
- nelder mead simplex
- region of interest
- segmentation method
- convergence speed
- generative model
- model selection
- particle swarm optimization
- function optimization