DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma segmentation.
Xiaojie LiMingxuan TangFeng GuoYuanxi LiKunlin CaoQi SongXi WuShanhui SunJiliu ZhouPublished in: IET Image Process. (2022)
Keyphrases
- densely connected
- image segmentation
- level set
- risk factors
- segmentation method
- segmentation algorithm
- community structure
- sparsely connected
- information networks
- multiresolution
- feature vectors
- data mining
- segmented regions
- community detection
- medical images
- graph mining
- social networks
- real world networks
- weighted graph
- network structure
- heterogeneous networks
- coarse to fine
- complex networks
- cell nuclei
- search engine
- probabilistic model