Incorporating Adaptive Sparse Graph Convolutional Neural Networks for Segmentation of Organs at Risk in Radiotherapy.
Junjie HuChengrong YuShengqian ZhuHaixian ZhangPublished in: Int. J. Intell. Syst. (2024)
Keyphrases
- convolutional neural networks
- medical images
- medical imaging
- segmentation algorithm
- image segmentation
- organ segmentation
- level set
- gaussian graphical models
- multiscale
- min cut
- graph model
- segmentation method
- random walk
- min cut max flow
- graph representation
- risk factors
- convolutional network
- shape prior
- region growing
- high dimensional
- image analysis
- fully automatic
- directed graph
- normalized cut
- edge detection
- x ray
- image guided
- sparse representation
- connected components
- graph partitioning
- energy function
- lung cancer
- risk assessment
- imaging modalities
- medical image analysis
- automated segmentation
- lymph nodes
- segmented regions
- object segmentation
- graph cuts
- graphical models
- graph structure
- risk management