Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis.
Bahareh MorovatiReza LashgariMojtaba HajihasaniHasti ShabaniPublished in: CoRR (2023)
Keyphrases
- breast cancer diagnosis
- classification accuracy
- histopathology images
- feature vectors
- feature set
- feature extraction
- classification method
- svm classifier
- classification models
- unsupervised feature learning
- breast cancer
- benchmark datasets
- extracted features
- feature selection
- class labels
- decision trees
- pattern recognition
- support vector
- cancer diagnosis
- feature space
- high dimensionality
- feature selection algorithms
- digital image processing
- clustering algorithm
- feature ranking
- eeg signals
- bayesian networks
- support vector machine svm
- training set
- machine learning
- machine learning algorithms