Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss.
Hui QuZhennan YanGregory M. RiedlingerSubhajyoti DeDimitris N. MetaxasPublished in: MICCAI (1) (2019)
Keyphrases
- histopathology images
- neural network
- segmentation method
- microscopic images
- microscopy images
- image segmentation
- cell nuclei
- spatial and temporal
- segmentation algorithm
- white blood cells
- level set
- spatial information
- multiscale
- high resolution
- artificial neural networks
- spatio temporal
- back propagation
- medical images
- spatial constraints
- confocal images
- object segmentation
- spatial context
- motion cues
- genetic algorithm
- microscope images
- temporal resolution
- segmentation accuracy
- medical imaging
- spatial data
- edge detection
- low resolution
- quantitative evaluation
- shape prior
- neural network model
- computer aided detection
- ultrasound imaging
- energy function
- markov random field