Retinal OCT Image Classification Based on Domain Adaptation Convolutional Neural Networks.
Zhide LiKen ChengPeiwu QinYuhan DongChengming YangXuefeng JiangPublished in: CISP-BMEI (2021)
Keyphrases
- domain adaptation
- convolutional neural networks
- image classification
- optical coherence tomography
- oct images
- retinal images
- cross domain
- multiple sources
- labeled data
- bag of words
- image representation
- feature extraction
- semi supervised
- imaging modalities
- test data
- covariate shift
- transfer learning
- target domain
- image features
- blood vessels
- semi supervised learning
- training data
- sentiment classification
- coronary artery
- manifold alignment
- unlabeled data
- co training
- knowledge discovery
- active learning
- text classification
- object recognition