DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation.
Ziyuan ZhaoZeng ZengKaixin XuCen ChenCuntai GuanPublished in: IEEE J. Biomed. Health Informatics (2021)
Keyphrases
- active learning
- image segmentation
- supervised learning
- semi supervised
- learning algorithm
- machine learning
- learning strategies
- random sampling
- training examples
- semi supervised learning
- supervised classification
- batch mode
- crowd sourced
- deformable models
- unlabeled data
- labeled data
- active contours
- feature selection
- markov random field
- relevance feedback
- level set method
- image processing
- gray level
- transfer learning
- pool based active learning
- boundary detection
- experimental design
- cost sensitive
- spectral clustering
- segmentation algorithm
- object segmentation
- biomedical data
- selective sampling
- graph cuts
- information extraction
- training set
- learning process
- computer vision
- image analysis
- shape prior
- region growing
- pairwise
- ground truth
- unsupervised image segmentation
- method for image segmentation
- level set
- expectation maximization
- contour detection
- training data
- learning environment
- energy function