: Breast cancer classification using an end-to-end deep learning feature fusion and satin bowerbird optimization controlled Newton Raphson feature selection.
Mamuna FatimaMuhammad Attique KhanSaima ShaheenNouf Abdullah AlmujallyShui-hua WangPublished in: CAAI Trans. Intell. Technol. (2023)
Keyphrases
- end to end
- breast cancer
- deep learning
- feature selection
- feature fusion
- newton raphson
- unsupervised learning
- feature extraction
- classification accuracy
- machine learning
- support vector
- text classification
- logistic regression
- feature space
- support vector machine
- feature set
- high dimensionality
- dimensionality reduction
- multiple features
- multi class
- image analysis
- model selection
- probabilistic model
- feature vectors
- training set
- object recognition
- pattern recognition
- learning algorithm