Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation.
Ping XuanXixi WuHui CuiQiangguo JinLinlin WangTiangang ZhangToshiya NakaguchiHenry B. L. DuhPublished in: Appl. Soft Comput. (2023)
Keyphrases
- random walk
- random walker
- multiscale
- directed graph
- neural network
- nodes of a graph
- medical images
- image segmentation
- markov chain
- spectral graph partitioning
- link prediction
- transition probabilities
- scale space
- markov random walk
- flow graph
- graph laplacian
- segmentation algorithm
- level set
- graph cuts
- image processing
- proximity measures
- web graph
- graph structure
- medical imaging
- ct images
- transition probability matrix
- x ray
- undirected graph
- energy function