AMSC-Net: Anatomy and multi-label semantic consistency network for semi-supervised fluid segmentation in retinal OCT.
Yaqi WangRuilong DanShan LuoLingling SunQicen WuYunxiang LiXiao-Diao ChenKangming YanXin YeDingguo YuPublished in: Expert Syst. Appl. (2024)
Keyphrases
- multi label
- optical coherence tomography
- semi supervised
- oct images
- multi label classification
- multi label learning
- imaging modalities
- text categorization
- graph cuts
- image classification
- image annotation
- segmentation algorithm
- medical images
- binary classification
- text classification
- semi supervised learning
- image analysis
- retinal images
- label assignment
- hierarchical text categorization
- image segmentation
- pairwise
- unlabeled data
- labeled data
- semantic information
- multiple labels
- complex networks
- segmentation method
- supervised learning
- active learning
- medical imaging
- natural language
- class labels
- labeling problems
- decision trees
- protein function prediction
- learning algorithm
- information retrieval
- machine learning