Nuclei Segmentation in Histopathology Images Using Rotation Equivariant and Multi-level Feature Aggregation Neural Network.
Yiqi ChenXuanya LiKai HuZhineng ChenXieping GaoPublished in: BIBM (2020)
Keyphrases
- histopathology images
- neural network
- microscopic images
- segmentation method
- microscopy images
- rotation invariant
- multi layer
- cell nuclei
- invariant features
- image segmentation
- confocal images
- image analysis
- feature vectors
- artificial neural networks
- white blood cells
- object segmentation
- region growing
- feature maps
- back propagation
- segmentation algorithm
- level set
- microscope images
- shape prior
- neural nets
- self organizing maps
- feature set
- multiscale
- neural network model
- automated analysis
- fully unsupervised
- energy function
- segmented regions
- medical images
- basal ganglia
- image sequences
- computer vision