CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields.
Hexuan HuJianyu ZhangTianjin YangQiang HuYufeng YuQian HuangPublished in: Biomed. Signal Process. Control. (2024)
Keyphrases
- microscopy images
- receptive fields
- confocal images
- visual cortex
- cell nuclei
- biologically inspired
- primary visual cortex
- segmentation method
- natural images
- white blood cells
- region growing
- input space
- image segmentation
- level set
- multiscale
- clustering algorithm
- space time
- neural network
- microscope images
- multi modal
- principal component analysis
- keywords
- training data