Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation.
Yuting HeGuanyu YangJian YangYang ChenYouyong KongJiasong WuLijun TangXiaomei ZhuJean-Louis DillensegerPengfei ShaoShaobo ZhangHuazhong ShuJean-Louis CoatrieuxShuo LiPublished in: Medical Image Anal. (2020)
Keyphrases
- semi supervised learning
- semi supervised
- medical images
- labeled data
- unlabeled data
- supervised learning
- image regions
- co training
- covariate shift
- image segmentation
- segmentation algorithm
- level set
- machine learning
- unsupervised learning
- active learning
- training data
- learning models
- semi supervised classification
- segmentation method
- manifold regularization
- label propagation
- multiscale
- graph based semi supervised learning
- semi supervised learning algorithms
- domain adaptation
- object segmentation
- data sets
- semi supervised learning methods
- graph construction
- social networks
- shape prior
- transfer learning
- multi view
- labeled and unlabeled data
- complex networks
- network structure
- three dimensional