Semi-automatic lymphoma detection and segmentation using fully conditional random fields.
Yuntao YuPierre DecazesJérôme Lapuyade-LahorgueIsabelle GardinPierre VeraSu RuanPublished in: Comput. Medical Imaging Graph. (2018)
Keyphrases
- semi automatic
- conditional random fields
- fully automatic
- image labeling
- crf model
- semantic segmentation
- segmentation method
- graphical models
- landmark extraction
- information extraction
- markov random field
- random fields
- probabilistic model
- hidden markov models
- named entity recognition
- maximum entropy
- semi automatically
- gold standard
- sequence labeling
- image segmentation
- generative model
- segmentation algorithm
- higher order
- pairwise
- structured prediction
- level set
- web page prediction
- superpixels
- semi markov
- wrapper generation
- parameter learning
- labor intensive
- medical images
- prediction accuracy
- object detection
- multiscale
- approximate inference
- bounding box
- region growing
- input image
- similarity measure