A Hybrid Images Deep Trained Feature Extraction and Ensemble Learning Models for Classification of Multi Disease in Fundus Images.
Jyoti VermaIsha KansalRenu PopliVikas KhullarDaljeet SinghManish SnehiRajeev KumarPublished in: NCDHWS (2) (2024)
Keyphrases
- feature extraction
- image classification
- learning models
- training set
- classification models
- fundus images
- feature selection
- support vector machine svm
- object recognition
- machine learning algorithms
- feature vectors
- pattern recognition
- machine learning
- image analysis
- svm classifier
- learning tasks
- optic nerve
- feature set
- input image
- learning algorithm
- support vector machine
- image features
- decision trees
- segmentation method
- classification accuracy
- feature space
- loss function
- support vector
- segmentation algorithm
- unsupervised learning
- text classification
- information extraction
- principal component analysis
- conditional random fields
- training data
- learning problems
- similarity measure
- face recognition
- supervised learning