CNN based segmentation of nuclei in PAP-smear images with selective pre-processing.
Srishti GautamArnav BhavsarAnil Kumar SaoHarinarayan K. K.Published in: Medical Imaging: Digital Pathology (2018)
Keyphrases
- microscopic images
- segmentation method
- microscope images
- microscopy images
- cell nuclei
- segmentation algorithm
- preprocessing
- image analysis
- test images
- image data
- ground truth
- edge detection
- segmented images
- image database
- segmentation errors
- tubular structures
- input image
- grey level
- adaptive thresholding
- accurate segmentation
- fully automatic
- image regions
- segmentation accuracy
- piece wise
- image segmentation
- region growing
- confocal images
- object recognition
- image retrieval
- quantitative evaluation
- level set
- feature extraction
- image features
- unsupervised segmentation
- medical imaging
- medical images
- automatic segmentation
- multiscale
- multiple objects
- pixel wise
- automatically segmented
- positron emission tomography
- pigmented skin lesions
- blood vessels
- image segments
- watershed transform
- pre processed
- image segmentation algorithms
- automated analysis
- foreground and background
- three dimensional