Breast cancer masses classification using deep convolutional neural networks and transfer learning.
Shayma'a A. HassanMohammed Sharaf SayedMahmoud I. AbdallaMohsen A. RashwanPublished in: Multim. Tools Appl. (2020)
Keyphrases
- breast cancer
- mammogram images
- transfer learning
- breast cancer diagnosis
- computer aided diagnosis
- bladder cancer
- computer aided detection
- convolutional neural networks
- mammographic images
- diagnosis of breast cancer
- logistic regression
- text classification
- machine learning
- microcalcification clusters
- labeled data
- machine learning algorithms
- cancer datasets
- cross domain learning
- cross domain
- benign and malignant
- cad systems
- early detection of breast cancer
- reinforcement learning
- breast tissue
- active learning
- breast cancer patients
- computer aided
- lung nodules
- semi supervised learning
- neural network
- classification accuracy
- unlabeled data
- transfer knowledge
- supervised learning
- naive bayes
- feature vectors
- feature space
- feature extraction
- class labels