Classification of breast cancer histology images using transfer learning.
Sulaiman VesalNishant RavikumarAmirAbbas DavariStephan EllmannAndreas K. MaierPublished in: CoRR (2018)
Keyphrases
- breast cancer
- transfer learning
- mammogram images
- breast cancer diagnosis
- benign and malignant
- bladder cancer
- breast tissue
- mammographic images
- early detection of breast cancer
- machine learning
- computer aided detection
- text classification
- microcalcification clusters
- diagnosis of breast cancer
- image analysis
- input image
- labeled data
- decision trees
- cancer datasets
- logistic regression
- breast cancer patients
- semi supervised learning
- reinforcement learning
- feature selection
- feature vectors
- computer aided diagnosis
- feature space
- object recognition
- support vector
- correct classification
- lung nodules
- supervised learning
- prior knowledge
- classification accuracy
- data sets
- transfer knowledge
- dce mri
- skin lesion
- naive bayes
- model selection
- collaborative filtering
- information extraction
- support vector machine