Generative synthetic adversarial network for internal bias correction and handling class imbalance problem in medical image diagnosis.
Mina RezaeiTomoki UemuraJanne NäppiHiroyuki YoshidaChristoph LippertChristoph MeinelPublished in: Medical Imaging: Computer-Aided Diagnosis (2020)
Keyphrases
- medical images
- class imbalance
- medical diagnosis
- bias correction
- medical imaging
- class distribution
- active learning
- image intensity
- brain images
- medical image analysis
- mr images
- cost sensitive
- magnetic resonance
- high dimensionality
- magnetic resonance images
- unsupervised learning
- generative model
- machine learning
- concept drift
- text categorization
- supervised learning
- semi supervised
- image data
- decision trees