Rating the Severity of Diabetic Retinopathy on a Highly Imbalanced Dataset.
Ángela Casado-GarcíaManuel García-DomínguezJónathan HerasAdrián InésDidac RoyoMiguel Ángel ZapataPublished in: EUROCAST (2022)
Keyphrases
- diabetic retinopathy
- imbalanced datasets
- retinal images
- automatic detection
- early detection
- learning from imbalanced data
- rare class
- blood vessels
- cost sensitive learning
- medical experts
- class distribution
- optic disc
- ensemble methods
- decision trees
- training dataset
- vessel segmentation
- imbalanced data
- class imbalance
- sample size
- test set
- prediction accuracy
- multi class
- training data
- image segmentation