Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma.
Chao LiWenjian HuangXi ChenYiran WeiStephen J. PriceCarola-Bibiane SchönliebPublished in: CoRR (2021)
Keyphrases
- deep learning
- weakly supervised
- expectation maximization
- em algorithm
- topic models
- relation extraction
- probabilistic model
- superpixels
- unsupervised learning
- maximum likelihood
- semi supervised
- object class
- generative model
- named entities
- bayesian framework
- domain specific
- object detectors
- image segmentation
- machine learning
- information extraction
- automatic extraction
- viewpoint
- learning algorithm