Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation.
Miguel MonteiroMário A. T. FigueiredoArlindo L. OliveiraPublished in: CoRR (2018)
Keyphrases
- medical imaging
- conditional random fields
- recurrent neural networks
- medical images
- image segmentation
- medical image processing
- x ray
- markov random field
- segmentation method
- image analysis
- image labeling
- neural network
- hidden markov models
- anatomical structures
- computed tomography
- image registration
- medical image analysis
- sequence labeling
- ct images
- image processing and analysis
- magnetic resonance imaging
- random fields
- brain mr images
- probabilistic model
- generative model
- higher order
- graphical models
- feed forward
- volumetric data
- imaging modalities
- image processing
- echo state networks
- crf model
- named entity recognition
- information extraction
- brain structures
- magnetic resonance images
- artificial neural networks
- shape analysis
- pairwise
- image guided surgery
- computer vision
- pattern recognition
- remote sensing
- web page prediction
- structured prediction
- back propagation
- segmentation algorithm
- superpixels
- level set
- error correcting output coding