Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture.
Laith AlzubaidiReem Ibrahim HasanFouad H. AwadMohammed A. FadhelOmran Al-ShammaJinglan ZhangPublished in: DeSE (2019)
Keyphrases
- multi class
- breast cancer
- breast cancer diagnosis
- multi class classifier
- support vector machine
- bladder cancer
- multi class classification
- binary and multi class
- binary classifiers
- multiple classes
- cost sensitive
- mammogram images
- multi class boosting
- computer aided detection
- error correcting output codes
- microcalcification clusters
- feature selection
- diagnosis of breast cancer
- logistic regression
- cancer datasets
- benign and malignant
- support vector
- binary classification
- pairwise
- object detection
- base classifiers
- feature extraction
- breast tissue
- classification accuracy
- image classification
- multi class problems
- computer aided diagnosis
- support vector machine svm
- breast cancer patients
- data sets
- correct classification
- text classification
- misclassification costs
- supervised learning
- feature vectors
- unsupervised learning
- text categorization
- class imbalance