Unsupervised Nuclei Segmentation Using Spatial Organization Priors.
Loïc Le BescondMarvin LerousseauIngrid GarberisFabrice AndréStergios ChristodoulidisMaria VakalopoulouHugues TalbotPublished in: MICCAI (2) (2022)
Keyphrases
- microscopic images
- segmentation method
- microscopy images
- segmentation algorithm
- text segmentation
- spatial information
- unsupervised learning
- image segmentation
- information systems
- spatio temporal
- fully unsupervised
- spatial data
- segmentation of natural images
- white blood cells
- prior information
- fully automatic
- cell nuclei
- bayesian framework
- multiscale
- segmentation of textured images
- information processing
- bayesian image segmentation
- spatial constraints
- segmentation accuracy
- level set
- spatial and temporal
- shape prior
- supervised learning
- semi supervised
- motion cues
- image analysis
- confocal images
- markov random field
- knowledge management
- spatial context
- x ray
- image regions