Choroid segmentation from Optical Coherence Tomography with graph-edge weights learned from deep convolutional neural networks.
Xiaodan SuiYuanjie ZhengBenzheng WeiHongsheng BiJianfeng WuXuemei PanYilong YinShaoting ZhangPublished in: Neurocomputing (2017)
Keyphrases
- edge weights
- optical coherence tomography
- oct images
- weighted graph
- convolutional neural networks
- bipartite graph
- directed graph
- spanning tree
- shortest path
- imaging modalities
- retinal images
- undirected graph
- directed acyclic graph
- superpixels
- segmentation algorithm
- graph structure
- coronary artery
- object segmentation
- segmentation method
- image analysis
- image processing
- link prediction
- medical images
- edge detection
- denoising
- object recognition
- multiscale