Clumped Nuclei Segmentation with Adjacent Point Match and Local Shape based Intensity Analysis for Overlapped Nuclei in Fluorescence In-Situ Hybridization Images.
Xiaoyuan GuoHanyi YuBlair J. RossettiGeorge TeodoroDaniel J. BratJun KongPublished in: CoRR (2018)
Keyphrases
- microscopic images
- microscopy images
- cell nuclei
- microscope images
- image analysis
- segmentation method
- automated analysis
- segmentation algorithm
- quantitative analysis
- level set
- object recognition
- fully automatic
- confocal images
- image data
- image regions
- ground truth
- intensity variations
- test images
- intensity inhomogeneity
- intensity distribution
- nonrigid registration
- image segmentation
- intensity images
- segmentation errors
- false matches
- image registration
- automated detection
- intensity profile
- three dimensional
- pixel intensities
- segmentation accuracy
- segmented images
- edge detection
- object detection
- image features
- intensity values
- watershed segmentation
- low contrast
- medical imaging
- energy function
- image retrieval
- white blood cells
- gradient vectors
- multiscale
- confocal laser scanning microscopy