Multiclass Diabetic Retinopathy Classification of Eye Fundus Images Small Datasets Performance Improvement - A Neuroevolution Approach.
José Luis Vázquez NogueraJulio César Mello RománDiego P. Pinto-RoaSantiago GómezJordan AyalaDiego Aquino-BrítezPedro E. Gardel-SotomayorMiguel García-TorresJacques FaconVerónica Elisa Castillo BenitezIngrid Castro MattoPastor Pérez-EstigarribiaPublished in: CLEI (2023)
Keyphrases
- multi class
- fundus images
- diabetic retinopathy
- binary and multi class
- multiclass classification
- binary classification problems
- optic disk
- optic disc
- support vector machine
- retinal images
- blood vessels
- cost sensitive classification
- binary classifiers
- automatic detection
- multiclass problems
- binary classification tasks
- multi class classification
- multiclass support vector machines
- multiple classes
- early detection
- cost sensitive
- optical coherence tomography
- binary classification
- feature selection
- medical experts
- error correcting output codes
- classification accuracy
- pairwise
- machine learning
- support vector
- vessel segmentation
- decision trees
- feature extraction
- data mining
- low contrast
- text classification
- multi task
- class imbalance
- learning algorithm