Adaptive multi-level conditional random fields for detection and segmentation of small enhanced pathology in medical images.
Zahra KarimaghalooDouglas L. ArnoldTal ArbelPublished in: Medical Image Anal. (2016)
Keyphrases
- medical images
- conditional random fields
- medical imaging
- graphical models
- image intensity
- image labeling
- deformable models
- sequence labeling
- anatomical structures
- information extraction
- magnetic resonance imaging
- random fields
- markov random field
- imaging modalities
- medical image analysis
- medical image segmentation
- probabilistic model
- magnetic resonance images
- crf model
- generative model
- magnetic resonance
- segmentation method
- region of interest
- named entity recognition
- segmentation of medical images
- ct images
- mri images
- higher order
- biomedical images
- computed tomography
- hidden markov models
- brain images
- structured prediction
- computer aided diagnosis
- web page prediction
- mr images
- pairwise
- superpixels
- x ray images
- computer tomography
- multiscale
- image processing
- object segmentation
- level set
- prior knowledge
- information retrieval