SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation.
Ting LiuMiaomiao ZhangMehran JavanmardiNisha RameshTolga TasdizenPublished in: CoRR (2016)
Keyphrases
- electron microscopy
- semi supervised
- image segmentation
- x ray
- low energy
- image stacks
- hierarchical structure
- binary tree
- semi supervised learning
- tree structure
- hierarchical tree
- unlabeled data
- medical imaging
- thin film
- pairwise
- labeled data
- region growing
- image processing
- graph cuts
- multiscale
- active learning
- level set method
- markov random field
- internal nodes
- multi view
- semi supervised clustering
- learning algorithm
- supervised learning
- deformable models
- active contours
- segmentation method
- leaf nodes
- multi layer
- level set
- training data
- segmentation algorithm