Robust optimization of SegNet hyperparameters for skin lesion segmentation.
Nurullah SahinNuh AlpaslanDavut HanbayPublished in: Multim. Tools Appl. (2022)
Keyphrases
- lesion segmentation
- robust optimization
- hyperparameters
- model selection
- cross validation
- closed form
- bayesian inference
- support vector
- random sampling
- bayesian framework
- prior information
- multiple sclerosis
- maximum likelihood
- mathematical programming
- em algorithm
- maximum a posteriori
- noise level
- sample size
- incremental learning
- magnetic resonance images
- incomplete data
- magnetic resonance imaging
- lot sizing
- clinical trials
- decision theory
- missing values
- skin lesion
- semidefinite programming
- white matter
- medical images
- parameter space
- expectation maximization
- image restoration
- markov random field
- prior knowledge
- evolutionary algorithm