A CNN Hyperparameters Optimization Based on Particle Swarm Optimization for Mammography Breast Cancer Classification.
Khadija AguerchiYounes JabraneMaryam HabbaAmir Hajjam El HassaniPublished in: J. Imaging (2024)
Keyphrases
- hyperparameters
- particle swarm optimization
- cancer classification
- model selection
- gene selection
- digital mammograms
- bayesian framework
- microarray
- cross validation
- closed form
- gene expression data
- bayesian inference
- random sampling
- maximum a posteriori
- prior information
- maximum likelihood
- support vector
- cancer diagnosis
- microarray data
- em algorithm
- sample size
- gene expression profiles
- random forest
- breast cancer
- incremental learning
- markov random field
- evolutionary algorithm
- data sets
- prediction accuracy
- probabilistic model
- prior knowledge
- image processing
- learning algorithm
- machine learning