Brain Tumor Segmentation Using Multi-Cascaded Convolutional Neural Networks and Conditional Random Field.
Kai HuQinghai GanYuan ZhangShuhua DengFen XiaoWei HuangChunhong CaoXieping GaoPublished in: IEEE Access (2019)
Keyphrases
- conditional random fields
- convolutional neural networks
- brain tumor segmentation
- crf model
- graphical models
- long range
- hidden markov models
- probabilistic model
- information extraction
- higher order
- markov random field
- superpixels
- generative model
- image labeling
- random fields
- undirected graphical models
- maximum entropy
- semantic segmentation
- pairwise
- high quality
- convolutional network
- magnetic resonance images
- structured prediction
- face detection
- sequence classification
- contextual features
- segmentation method
- approximate inference
- ordinal scale
- data mining
- image analysis
- similarity measure