SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation.
Ting LiuMiaomiao ZhangMehran JavanmardiNisha RameshTolga TasdizenPublished in: ECCV (1) (2016)
Keyphrases
- electron microscopy
- semi supervised
- image segmentation
- x ray
- low energy
- binary tree
- hierarchical structure
- image stacks
- hierarchical tree
- thin film
- semi supervised learning
- graph cuts
- medical imaging
- markov random field
- image processing
- deformable models
- unlabeled data
- tree structure
- multi view
- level set method
- internal nodes
- pairwise
- computer vision
- segmentation algorithm
- learning algorithm
- spectral clustering
- region growing
- supervised learning
- active learning
- multiscale
- transmission electron microscopy
- labeled data
- level set