BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation.
Yanda MengHongrun ZhangDongxu GaoYitian ZhaoXiaoyun YangXuesheng QianXiaowei HuangYalin ZhengPublished in: CoRR (2021)
Keyphrases
- image segmentation
- image processing
- small world
- graph partitioning
- random walk
- input patterns
- peer to peer
- boundary and region information
- spanning tree
- network model
- object boundaries
- business intelligence
- normalized cut
- neural network
- geodesic active contours
- structured data
- input data
- segmentation algorithm
- link prediction
- region growing
- level set method
- scale space
- graph representation
- edge detection
- path length
- fully connected
- wireless sensor networks
- segmented regions
- clustering coefficient
- citation networks
- network structure