Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation.
Lin YangYizhe ZhangJianxu ChenSiyuan ZhangDanny Z. ChenPublished in: CoRR (2017)
Keyphrases
- image segmentation
- active learning
- active learning framework
- deep learning
- graph cuts
- hierarchical text classification
- markov random field
- multiscale
- region growing
- image processing
- image analysis
- deformable models
- segmentation algorithm
- active contours
- level set method
- machine learning
- boundary detection
- level set
- shape prior
- method for image segmentation
- image annotation
- automatic annotation
- biomedical images
- biomedical data
- annotation tool
- gray level
- segmentation method
- computer vision
- unsupervised learning
- information extraction
- metadata
- learning algorithm
- feature selection
- probabilistic relaxation
- medical imaging
- training set
- biomedical literature
- data mining
- unsupervised image segmentation
- e learning
- learning process
- automatic image annotation
- graph partitioning
- text mining
- data sets
- spectral clustering
- semantic annotation