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An automated approach to the segmentation of HEp-2 cells for the indirect immunofluorescence ANA test
- Publication Year :
- 2015
- Publisher :
- Elsevier, 2015.
-
Abstract
- The automatization of the analysis of Indirect Immunofluorescence (IIF) images is of paramount importance for the diagnosis of autoimmune diseases. This paper proposes a solution to one of the most challenging steps of this process, the segmentation of HEp-2 cells, through an adaptive marker-controlled watershed approach. Our algorithm automatically conforms the marker selection pipeline to the peculiar characteristics of the input image, hence it is able to cope with different fluorescent intensities and staining patterns without any a priori knowledge. Furthermore, it shows a reduced sensitivity to over-segmentation errors and uneven illumination, that are typical issues of IIF imaging.
- Subjects :
- Computer science
Pipeline (computing)
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Fluorescent Antibody Technique
HEp-2 cell segmentation
Cell pattern analysis
Indirect immunofluorescence
ANA testing
Microscope image processing
Health Informatics
Sensitivity and Specificity
Cell Line
Pattern Recognition, Automated
Image Interpretation, Computer-Assisted
Humans
Radiology, Nuclear Medicine and imaging
Segmentation
Computer vision
Sensitivity (control systems)
Connective Tissue Diseases
Radiological and Ultrasound Technology
business.industry
Reproducibility of Results
Epithelial Cells
IIf
Image Enhancement
Computer Graphics and Computer-Aided Design
Microscopy, Fluorescence
Cell Tracking
Antibodies, Antinuclear
A priori and a posteriori
Computer Vision and Pattern Recognition
Artificial intelligence
business
Marker selection
Algorithms
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....761184ad9410ce70d021bb3cb22949bf