Is Diabetic Retinopathy Grading Biased by Imbalanced Datasets?
Fernando C. MonteiroJosé RufinoPublished in: OL2A (2022)
Keyphrases
- imbalanced datasets
- diabetic retinopathy
- retinal images
- automatic detection
- early detection
- learning from imbalanced data
- cost sensitive learning
- class distribution
- class imbalance
- blood vessels
- optic disc
- ensemble methods
- training dataset
- imbalanced data
- sampling methods
- vessel segmentation
- decision trees
- feature selection algorithms
- medical experts
- data sets
- fraud detection
- breast cancer
- minority class
- misclassification costs
- test set
- prediction accuracy
- support vector machine
- pairwise
- machine learning