Breast Cancer Classification Using Equivariance Transition in Group Convolutional Neural Networks.
Zaharaddeen SaniRajesh PrasadEzzeddin Kamil Mohamed HashimPublished in: IEEE Access (2023)
Keyphrases
- breast cancer
- breast cancer diagnosis
- bladder cancer
- mammogram images
- computer aided detection
- microcalcification clusters
- roc analysis
- convolutional neural networks
- diagnosis of breast cancer
- computer aided diagnosis
- breast tissue
- benign and malignant
- cancer datasets
- early detection
- logistic regression
- support vector
- cad systems
- classification accuracy
- breast cancer patients
- survival analysis
- text classification
- decision trees
- feature selection
- cancer patients
- knn
- machine learning
- feature extraction
- early detection of breast cancer
- breast cancer detection
- pulmonary nodules
- feature vectors
- multiscale