CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation.
Yanda MengMeng WeiDongxu GaoYitian ZhaoXiaoyun YangXiaowei HuangYalin ZhengPublished in: MICCAI (4) (2020)
Keyphrases
- image segmentation
- boundary information
- active contours
- geodesic active contours
- object boundaries
- cellular neural networks
- boundary and region information
- region boundaries
- segmentation result
- multiscale
- regression model
- region growing
- level set
- graph cuts
- image analysis
- geodesic active
- regression problems
- texture segmentation
- level set method
- image processing
- object segmentation
- support vector regression
- markov random field
- deformable models
- segmentation method
- segmented regions
- segmentation algorithm
- computer vision
- shape prior
- convolutional neural network
- information extraction
- text mining
- model selection
- data aggregation
- partial least squares
- biomedical data
- fuzzy c means
- medical imaging
- gaussian processes
- method for image segmentation
- regression function
- regression analysis
- boundary detection
- simple linear
- perceptual grouping
- regression algorithm
- image segmentation algorithm
- rank aggregation
- neural network
- unsupervised image segmentation
- biomedical images
- region segmentation