Automated Segmentation of Nucleus, Cytoplasm and Background of Cervical Cells from Pap-smear Images using a Trainable Pixel Level Classifier.
William WasswaJohnes ObungolochAnnabella Habinka Basaza-EjiriJ. Andrew WarePublished in: AIPR (2019)
Keyphrases
- pixel level
- automated segmentation
- foreground objects
- segmentation method
- microscopy images
- manual segmentation
- white blood cells
- image analysis
- image data
- ct scans
- clinical applications
- input image
- image fusion
- superpixels
- automatic segmentation
- cell nuclei
- background subtraction
- multiple images
- multiscale
- segmentation algorithm
- video sequences
- object segmentation
- region growing
- training examples
- multi view
- image registration
- multiresolution
- training set
- image processing