A transfer learning-based novel fusion convolutional neural network for breast cancer histology classification.
Xiangchun YuHechang ChenMiaomiao LiangQing XuLifang HePublished in: Multim. Tools Appl. (2022)
Keyphrases
- breast cancer
- transfer learning
- convolutional neural network
- breast cancer diagnosis
- mammogram images
- bladder cancer
- microcalcification clusters
- computer aided detection
- text classification
- machine learning
- diagnosis of breast cancer
- benign and malignant
- cancer datasets
- cross domain learning
- machine learning algorithms
- logistic regression
- cross domain
- active learning
- reinforcement learning
- classification accuracy
- support vector machine
- labeled data
- breast cancer patients
- breast tissue
- multi task
- decision trees
- collaborative filtering
- face detection
- text categorization
- semi supervised learning
- feature selection
- supervised learning
- knn
- transfer knowledge
- feature space
- computer aided diagnosis
- feature vectors
- cancer patients
- support vector
- correct classification
- training set
- training samples
- text mining
- multi class
- learning algorithm
- data sets