Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation.
Lin YangYizhe ZhangJianxu ChenSiyuan ZhangDanny Z. ChenPublished in: MICCAI (3) (2017)
Keyphrases
- image segmentation
- active learning
- active learning framework
- deep learning
- semantic annotation
- region growing
- information extraction
- graph cuts
- multiscale
- hierarchical text classification
- learning algorithm
- image processing
- biomedical literature
- image analysis
- deformable models
- medical imaging
- machine learning
- markov random field
- active contours
- segmentation algorithm
- computer vision
- biomedical images
- image segmentation algorithms
- manual annotation
- unsupervised image segmentation
- annotation tool
- boundary detection
- energy functional
- text mining
- fuzzy c means
- shape prior
- image retrieval
- learning process
- learning environment
- method for image segmentation
- image segmentation algorithm
- unsupervised learning
- contour detection
- watershed transformation
- biomedical data
- automatic image annotation
- metadata
- automatic annotation
- medical images
- level set method
- data mining
- segmentation method
- expectation maximization