Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels).
Lin GuYinqiang ZhengRyoma BiseImari SatoNobuaki ImanishiSadakazu AisoPublished in: MICCAI (1) (2017)
Keyphrases
- semi supervised learning
- superpixels
- image segmentation
- object segmentation
- segmentation algorithm
- segmentation method
- multiscale
- semi supervised
- unlabeled data
- labeled data
- graph cuts
- weakly supervised
- semantic segmentation
- supervised learning
- machine learning
- markov random field
- active learning
- object class
- long range
- natural images
- training data
- unsupervised learning
- shape prior
- input image
- bounding box
- multiple images
- image processing
- conditional random fields
- level set
- active contours
- text mining
- object detection
- computer vision
- energy function
- image patches
- graph structure
- learning process
- hidden markov models
- information extraction
- learning algorithm
- expectation maximization
- higher order
- data sets