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: MIDL (2020)
Keyphrases
- medical imaging
- class imbalance
- class distribution
- x ray
- medical images
- active learning
- medical image processing
- image processing
- cost sensitive
- image registration
- image analysis
- image segmentation
- sampling methods
- high dimensionality
- cost sensitive learning
- imbalanced datasets
- biomedical engineering
- remote sensing
- computer vision
- image processing and analysis
- image guided surgery
- concept drift
- minority class
- feature selection
- data mining
- dimensionality reduction
- pattern recognition
- training data
- learning algorithm
- volumetric data
- machine learning