Brain Image Parcellation Using Fully Convolutional Network with Adaptively Selected Features from Brain Atlases.
Xiao ZhangHaifeng ZhaoZhenyu TangShaojie ZhangPublished in: ICBBS (2020)
Keyphrases
- brain images
- selected features
- human brain
- white matter
- convolutional network
- functional magnetic resonance imaging
- feature selection
- mr images
- magnetic resonance
- convolutional neural networks
- feature set
- cross validation
- magnetic resonance images
- medical images
- random forest
- cerebrospinal fluid
- classification method
- brain tissue
- information processing
- svm classifier
- classification accuracy
- feature subset
- diffusion tensor
- gray matter
- diffusion tensor imaging
- feature selection algorithms
- support vector machine
- brain regions
- classification rate
- inter subject
- extracted features
- coarse to fine
- fiber bundles
- feature extraction
- atlas construction
- decision trees
- image classification
- tensor field
- multiresolution
- cortical surface
- model selection
- image registration