RPUC: Semi-supervised 3D Biomedical Image Segmentation Through Rectified Pyramid Unsupervised Consistency.
Xiaogen ZhouZhiqiang LiTong TongPublished in: ICONIP (3) (2023)
Keyphrases
- semi supervised
- image segmentation
- multiscale
- semi supervised learning
- labeled data
- watershed transformation
- supervised learning
- unsupervised learning
- pairwise
- unlabeled data
- active learning
- multiresolution
- markov random field
- semi supervised clustering
- co training
- semi supervised classification
- level set method
- scale space
- region growing
- graph cuts
- unsupervised clustering
- computer vision
- supervised methods
- biomedical literature
- unsupervised methods
- boundary detection
- image processing
- supervised and semi supervised
- active contours
- fully supervised
- fuzzy c means
- object segmentation
- segmentation method
- level set
- multi view
- pairwise constraints
- mathematical morphology
- segmented images
- weakly supervised
- texture segmentation
- input image
- expectation maximization
- image pyramids
- gray level
- unsupervised image segmentation
- deformable models
- texture image segmentation
- image segmentation algorithm
- biomedical images
- normalized cut
- supervised classification
- metric learning
- coarse to fine
- spectral clustering
- segmentation algorithm
- image analysis