Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches.
Guy AmitRami Ben-AriOmer HadadEinat MonovichNoa GranotSharbell Y. HashoulPublished in: Medical Imaging: Computer-Aided Diagnosis (2017)
Keyphrases
- small size
- deep learning
- breast mri
- training set
- classification accuracy
- supervised learning
- machine learning
- magnetic resonance imaging
- unsupervised learning
- computer aided
- decision trees
- feature vectors
- support vector
- model selection
- differential diagnosis
- pattern recognition
- feature space
- medical images
- text classification
- breast tissue
- data sets
- computer vision
- magnetic resonance images
- training examples
- semi supervised