Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation.
Zeju LiKonstantinos KamnitsasBen GlockerPublished in: IEEE Trans. Medical Imaging (2021)
Keyphrases
- class imbalance
- neural network
- image segmentation
- class distribution
- active learning
- cost sensitive
- cost sensitive learning
- imbalanced datasets
- concept drift
- high dimensionality
- majority class
- pattern recognition
- sampling methods
- imbalanced data
- image processing
- feature selection
- cross validation
- graph cuts
- minority class
- bayesian networks
- computer vision
- machine learning
- markov random field
- decision trees
- imbalanced class distribution
- rule extraction
- nearest neighbour
- generalization error
- multilayer perceptron
- unlabeled data