Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
Ahmad B. QasimIvan EzhovSuprosanna ShitOliver SchoppeJohannes C. PaetzoldAnjany SekuboyinaFlorian KoflerJana LipkováHongwei LiBjoern H. MenzePublished in: CoRR (2020)
Keyphrases
- medical imaging
- class imbalance
- medical images
- class distribution
- x ray
- medical image processing
- active learning
- cost sensitive
- image segmentation
- image registration
- cost sensitive learning
- image processing
- image analysis
- image processing and analysis
- image guided surgery
- high dimensionality
- concept drift
- sampling methods
- remote sensing
- imbalanced datasets
- computer vision
- minority class
- biomedical engineering
- feature selection
- imbalanced class distribution
- neural network
- naive bayes
- markov random field
- nearest neighbor
- multi class
- feature vectors
- feature space
- learning environment
- machine learning
- data mining