Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields.
Patrick Ferdinand ChristMohamed Ezzeldin A. ElshaerFlorian EttlingerSunil TatavartyMarc BickelPatrick BilicMarkus RempflerMarco ArmbrusterFelix HofmannMelvin D'AnastasiWieland H. SommerSeyed-Ahmad AhmadiBjoern H. MenzePublished in: MICCAI (2) (2016)
Keyphrases
- conditional random fields
- lesion segmentation
- convolutional neural networks
- ct images
- graphical models
- magnetic resonance imaging
- probabilistic model
- multiple sclerosis
- hidden markov models
- markov random field
- sequence labeling
- ct scans
- random fields
- information extraction
- pairwise
- x ray
- generative model
- medical images
- magnetic resonance images
- computed tomography
- higher order
- multi channel
- medical imaging
- crf model
- web page prediction
- clinical trials
- computer vision
- mri data
- computer aided
- decision support system
- prior knowledge
- similarity measure
- image processing