Semi-Supervised Learning for Electron Microscopy Image Segmentation.
Eichi TakayaYusuke TakeichiMamiko OzakiSatoshi KuriharaPublished in: AAAI (2019)
Keyphrases
- semi supervised learning
- electron microscopy
- image segmentation
- x ray
- semi supervised
- low energy
- image stacks
- unlabeled data
- labeled data
- supervised learning
- training data
- semi supervised classification
- thin film
- machine learning
- image processing
- graph based semi supervised learning
- active learning
- label propagation
- region growing
- graph cuts
- deformable models
- manifold regularization
- active contours
- unsupervised learning
- transfer learning
- spectral clustering
- co training
- markov random field
- energy function
- segmentation method
- learning models
- three dimensional
- labeled and unlabeled data
- information retrieval
- opinion detection
- reinforcement learning
- training set
- semi supervised learning methods
- semi supervised learning algorithms
- tubular structures
- learning algorithm
- computer vision
- probabilistic model
- text classification
- similarity measure
- decision trees