Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images.
Qijie WeiJingyuan YangBo WangJinrui WangJianchun ZhaoXinyu ZhaoSheng YangNiranchana ManivannanYouxin ChenDayong DingJing ZhouXirong LiPublished in: BIBM (2023)
Keyphrases
- domain adaptation
- fundus images
- wide field
- semi supervised
- diabetic retinopathy
- blood vessels
- optic disc
- optical coherence tomography
- retinal images
- pre attentive
- labeled data
- supervised learning
- semi supervised learning
- multiple sources
- cross domain
- retinal blood vessels
- learning algorithm
- unlabeled data
- test data
- sentiment classification
- unsupervised learning
- high resolution
- transfer learning
- target domain
- low contrast
- medical experts
- multi view
- active learning
- pairwise
- feature selection
- machine learning
- surface reconstruction
- text categorization