Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation.
Dwarikanath MahapatraPeter J. SchüfflerJeroen A. W. TielbeekCarl A. J. PuylaertJesica C. MakanyangaAlex MenysRado AndriantsimiavonaJaap StokerStuart A. TaylorFranciscus M. VosJoachim M. BuhmannPublished in: ABDI@MICCAI (2014)
Keyphrases
- semi supervised learning
- graph cuts
- combining multiple
- segmentation algorithm
- shape prior
- energy function
- object segmentation
- image segmentation
- semi supervised
- unlabeled data
- markov random field
- energy minimization
- labeled data
- unsupervised learning
- machine learning
- mean shift
- semi supervised classification
- multi label
- supervised learning
- training data
- superpixels
- normalized cut
- segmentation method
- active learning
- multiscale
- text categorization
- cluster ensemble
- class labels
- multi view
- level set
- medical images
- training set
- computer vision
- active contours
- text mining
- object detection