VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data.
Yifan WangGuoli YanHaikuan ZhuSagar BuchYing WangEwart Mark HaackeJing HuaZichun ZhongPublished in: CoRR (2020)
Keyphrases
- volume data
- image data
- volume rendering
- level set
- image segmentation
- segmentation algorithm
- multiscale
- medical images
- sparse data
- image quality
- segmentation method
- fully automatic
- fully unsupervised
- data visualization
- object segmentation
- data analysis
- image analysis
- social networks
- magnetic resonance
- feature space
- self organizing maps
- segmentation accuracy
- visualization tool
- image slices
- mr images
- low signal to noise ratio
- visualization tools
- input data
- image regions
- region growing
- community structure
- complex networks