Marker controlled superpixel nuclei segmentation and automatic counting on immunohistochemistry staining images.
Jie ShuJingxin LiuYongmei ZhangHao FuMohammad IlyasGiuseppe FaraciVincenzo Della MeaBozhi LiuGuoping QiuPublished in: Bioinform. (2020)
Keyphrases
- cell nuclei
- microscopic images
- segmentation method
- microscopy images
- fully automatic
- image regions
- segmentation algorithm
- image analysis
- microscope images
- automated analysis
- low contrast
- input image
- segmentation errors
- cell segmentation
- test images
- quantitative analysis
- three dimensional
- superpixels
- image database
- automated detection
- accurate segmentation
- segmented images
- pixel level
- automatically segmented
- image segmentation algorithm
- quantitative evaluation
- image segmentation
- object recognition
- image retrieval
- image data
- ground truth
- cancer diagnosis
- edge detection
- multiple objects
- pixel wise
- segmentation accuracy
- segmentation result
- image segmentation algorithms
- image registration
- region growing
- image segments
- image features
- grey level
- multiple images
- shape prior
- object segmentation
- automatic segmentation
- salient regions
- tubular structures
- adaptive thresholding
- pigmented skin lesions