Carcinoma Type Classification From High-Resolution Breast Microscopy Images Using a Hybrid Ensemble of Deep Convolutional Features and Gradient Boosting Trees Classifiers.
Ritabrata SanyalDevroop KarRam SarkarPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2022)
Keyphrases
- feature set
- classification models
- ensemble classifier
- decision trees
- classification method
- svm classifier
- gradient boosting
- single feature
- class labels
- feature vectors
- feature ranking
- feature selection
- microscopy images
- training set
- classification accuracy
- weak classifiers
- high resolution
- random forest
- feature subset
- support vector
- feature extraction
- base learners
- benchmark datasets
- fold cross validation
- feature space
- machine learning methods
- training data
- ensemble methods
- support vector machine
- ensemble learning
- classification algorithm
- feature selection algorithms
- base classifiers
- support vector machine svm
- training samples
- multiple features
- high dimensionality
- random forests
- image processing
- image classification
- concept drift
- logistic regression
- machine learning
- image features
- cancer cells
- neural network
- cross validation
- loss function
- machine learning algorithms
- text categorization