Twin self-supervision based semi-supervised learning (TS-SSL): Retinal anomaly classification in SD-OCT images.
Yuhan ZhangMingchao LiZexuan JiWen FanSongtao YuanQinghuai LiuQiang ChenPublished in: Neurocomputing (2021)
Keyphrases
- semi supervised learning
- supervised learning
- oct images
- semi supervised classification
- improve the classification accuracy
- semi supervised
- co training
- unsupervised learning
- unlabeled data
- labeled data
- machine learning
- semi supervised learning algorithms
- labeled and unlabeled data
- active learning
- transductive support vector machine
- optical coherence tomography
- training data
- text classification
- unlabeled samples
- graph based semi supervised learning
- label propagation
- semi supervised learning setting
- support vector machine
- classification accuracy
- domain adaptation
- decision trees
- pattern recognition
- feature extraction
- image analysis
- semi supervised learning methods
- class labels
- labeled instances
- learning algorithm
- data sets
- model selection
- graph construction
- support vector
- transfer learning
- training set
- manifold regularization
- opinion detection
- feature space