Supervised learning-based cell image segmentation for P53 immunohistochemistry.
Ke Zhi MaoPeng ZhaoPuay-Hoon TanPublished in: IEEE Trans. Biomed. Eng. (2006)
Keyphrases
- supervised learning
- image segmentation
- computer vision
- multiscale
- supervised classification
- machine learning
- segmentation algorithm
- level set method
- active learning
- method for image segmentation
- learning tasks
- object segmentation
- unsupervised image segmentation
- reinforcement learning
- semi supervised
- active contours
- semi supervised learning
- labeled data
- graph cuts
- texture segmentation
- markov random field
- training set
- unsupervised learning
- image processing
- learning algorithm
- segmentation method
- contour detection
- segmenting images
- statistical learning
- region growing
- spectral clustering
- training examples
- training data
- image analysis
- gray level
- unlabeled data
- medical imaging
- energy functional
- expectation maximization
- data mining
- markov random field model
- probabilistic relaxation
- higher order
- image segmentation algorithm
- region merging
- graph partitioning
- multiple instance learning
- data sets
- class labels
- fuzzy c means
- shape prior
- energy function
- deformable models