RRI-Net: Classification of Multi-class Retinal Diseases with Deep Recurrent Residual Inception Network using OCT Scans.
Bilal HassanShiyin QinRamsha AhmedPublished in: ISSPIT (2020)
Keyphrases
- multi class
- multi class classifier
- multi class classification
- support vector machine
- multiclass classification
- binary classifiers
- binary and multi class
- multiple classes
- multi class boosting
- multi class svm
- multiclass problems
- cost sensitive
- class probabilities
- multi class svms
- binary classification problems
- feature selection
- multi class classifiers
- optical coherence tomography
- error correcting output codes
- protein classification
- multi class problems
- single class
- classification accuracy
- object detection
- machine learning
- pairwise
- binary classification
- text classification
- protein sequences
- feature space
- classification algorithm
- oct images
- feature extraction
- benchmark datasets
- improve the classification accuracy
- support vector machine svm
- binary classification tasks
- probabilistic boosting tree
- feature vectors
- base classifiers
- logistic regression
- decision trees
- kernel logistic regression
- machine learning algorithms
- similarity measure
- support vector
- class labels
- cross validation
- feature set
- retinal images