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: CoRR (2016)
Keyphrases
- conditional random fields
- lesion segmentation
- convolutional neural networks
- ct images
- magnetic resonance imaging
- graphical models
- multiple sclerosis
- medical images
- magnetic resonance images
- higher order
- probabilistic model
- hidden markov models
- markov random field
- random fields
- information extraction
- sequence labeling
- generative model
- ct scans
- computed tomography
- web page prediction
- crf model
- mr images
- medical imaging
- x ray
- fully automatic
- segmentation method
- pairwise
- clinical trials
- multi channel
- machine learning