A novel hybrid robust architecture for automatic screening of glaucoma using fundus photos, built on feature selection and machine learning-nature driven computing.
Law Kumar SinghMunish KhannaShankar ThawkarPublished in: Expert Syst. J. Knowl. Eng. (2022)
Keyphrases
- feature selection
- machine learning
- retinal images
- blood vessels
- data driven
- diabetic retinopathy
- age related macular degeneration
- support vector machine
- text classification
- fundus images
- machine learning algorithms
- management system
- model selection
- feature space
- text categorization
- mutual information
- pattern recognition
- discriminative features
- support vector
- semi automatic
- machine learning methods
- fully automatic
- software architecture
- neural network
- feature engineering
- artificial intelligence
- computer vision
- feature set
- natural language processing
- feature extraction
- knowledge representation
- feature selection algorithms
- unsupervised learning
- feature generation
- optic disc
- data mining
- real time
- dimensionality reduction