Dual Machine-Learning System to Aid Glaucoma Diagnosis Using Disc and Cup Feature Extraction.
Javier Civit-MasotManuel Jesus Domínguez-MoralesSaturnino Vicente DiazAntón CivitPublished in: IEEE Access (2020)
Keyphrases
- machine learning
- feature extraction
- fundus images
- optic nerve
- feature selection
- pattern recognition
- machine learning algorithms
- knowledge acquisition
- face recognition
- image processing
- preprocessing
- medical diagnosis
- active learning
- support vector machine
- decision trees
- feature extractors
- explanation based learning
- model based diagnosis
- inductive learning
- pattern classification
- dimension reduction
- linear discriminant analysis
- machine learning methods
- image classification
- feature vectors
- total hip arthroplasty
- model selection
- learning algorithm
- linear feature extraction
- artificial intelligence
- support vector
- retinal images
- fault detection
- feature space
- blood vessels
- texture analysis
- dimensionality reduction
- statistical methods
- learning systems
- computer vision
- natural language processing
- text mining
- computer science
- optic disc
- data mining