Breast Cancer Mass Classification Using Machine Learning, Binary-Coded Genetic Algorithms and an Ensemble of Deep Transfer Learning.
Volkan Müjdat TiryakiNedim TutkunPublished in: Comput. J. (2024)
Keyphrases
- transfer learning
- breast cancer
- machine learning
- mammogram images
- breast cancer diagnosis
- text classification
- learning tasks
- bladder cancer
- roc analysis
- machine learning algorithms
- digital mammography
- computer aided detection
- benign and malignant
- neural network
- learning algorithm
- computer aided diagnosis
- diagnosis of breast cancer
- pattern recognition
- logistic regression
- cross domain
- early detection of breast cancer
- semi supervised learning
- feature selection
- active learning
- microcalcification clusters
- labeled data
- reinforcement learning
- digitized mammograms
- support vector machine
- classification accuracy
- decision trees
- text categorization
- transfer knowledge
- unsupervised learning
- cancer datasets
- text mining
- training set
- mammographic images
- model selection
- information extraction
- supervised learning
- data mining
- data analysis
- support vector
- data sets
- breast cancer patients
- face recognition
- breast tissue
- feature space
- target domain
- computer aided
- collaborative filtering
- naive bayes