Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks.
Yiran WeiYonghao LiXi ChenCarola-Bibiane SchönliebChao LiStephen J. PricePublished in: CoRR (2021)
Keyphrases
- neural network
- genetic algorithm
- brain tumors
- structural patterns
- brain connectivity
- graph theory
- pattern recognition
- social networks
- average degree
- evolutionary algorithm
- genetic algorithm ga
- small world
- edge weights
- graph structures
- network structure
- human brain
- fully connected
- weighted graph
- graph layout
- graph mining
- overlapping communities
- graph structure
- brain tissue
- artificial neural networks
- fuzzy logic
- back propagation
- neural network ensemble
- fitness function
- differential evolution
- complex networks
- social network analysis
- spiking neural networks
- structural information
- neural network model
- brain images
- clinical data
- community detection
- feed forward