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Mining knowledge for HEp-2 cell image classification
Artificial Intelligence in Medicine, 2002HEp-2 cells are used for the identification of antinuclear autoantibodies (ANAs). They allow for recognition of over 30 different nuclear and cytoplasmic patterns, which are given by upwards of 100 different autoantibodies. The identification of the patterns has recently been done manually by a human inspecting the slides with a microscope.
Petra Perner +2 more
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Effects of Helicobacter hepaticus on the proteome of HEp-2 cells
Antonie van Leeuwenhoek, 2007Helicobacter hepaticus infects the bowel and biliary tree of several animals, producing inflammation. Colonisation of mouse livers can induce hepatocellular carcinomas. The effects of H. hepaticus on the proliferation and global protein expression of human HEp-2 cells were studied by examining the changes in the protein profiles of cells exposed to the
Arinze S, Okoli +3 more
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On Using Active Contour to Segment HEp-2 Cells
2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS), 2016The development of computer-aided diagnosis (CAD) systems for antinuclear autoantibodies tests in indirect immunofluorescence using HEp-2 cells has attracted growing research efforts in the last years. Although in this field many CAD solutions extract information from objects detected within the images, cell segmentation is an issue far from being ...
Mario Merone, Paolo Soda
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Haemophilus influenzae triggers autophagy in HEp-2 cells
Archives of Microbiology, 2015The MAP-LC3 system regulates the intracellular formation of autophagy-associated vacuoles. These vacuoles contain the LC3 protein; thus it has been utilized as a marker to identify autophagosomes. The aim of our study was to investigate whether Haemophilus influenzae strains and their supernatants could activate autophagy in human larynx carcinoma cell
María del Rosario, Espinoza-Mellado +5 more
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Antinuclear antibodies: A contemporary nomenclature using HEp-2 cells
Journal of Autoimmunity, 2010The choice of terms used to describe indirect immunofluorescence (IIF) staining patterns of autoantibodies binding to HEp-2 cells is at present quite varied and disordered because no accurate consensus on names and descriptions exist. The aim of our study was to propose a logical and ordered IIF classification taxonomy based on 29 different selected ...
Mimi Høier-Madsen
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Early experiences in mitotic cells recognition on HEp-2 slides
2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS), 2010Indirect immunofluorescence (IIF) imaging is the recommended laboratory technique to detect autoantibodies in patient serum, but it suffers from several issues limiting its reliability and reproducibility. IIF slides are observed by specialists at the fluorescence microscope, reporting fluorescence intensity and staining pattern and looking for mi ...
FOGGIA, PASQUALE +3 more
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Segmentation of HEp-2 cells centromere pattern
2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2017According to NIH, an autoimmune diseases have infected almost 23.5 million peoples of the USA. The detection of such autoimmune disease is done by using Antinuclear Antibodies test of Human Epithelial pattern 2 (HEp-2) cells. It is needed to design an automatic system for ANA testing, which involves the stage of segmentation of HEp-2 cells.
Muley Jayant Arun, Varsha R Ratnaparkhe
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HEp-2 Cell Image Classification: A Comparative Analysis
2013HEp-2 cell image classification is an important and relatively unexplored area of research. This paper presents an experimental analysis of five different categories of feature sets with four different classifiers to determine the best performing combination of features and classifiers.
Praful Agrawal +2 more
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Automatic CAD System for HEp-2 Cell Image Classification
2014 22nd International Conference on Pattern Recognition, 2014It has been estimated that autoimmune diseases are among the top ten leading causes of death among women in all age groups up to 65 years. However, the detection of it by indirect immunofluorescence (IIF) image analysis depends heavily on the experience of the physicians. An accurate and automatic Computer Aided Diagnosis (CAD) system will help greatly
Shahab Ensafi +3 more
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Efficient k-NN based HEp-2 cells classifier
Pattern Recognition, 2014Human Epithelial (HEp-2) cells are commonly used in the Indirect Immunofluorescence (IIF) tests to detect autoimmune diseases. The diagnosis consists of searching and classification to specific patterns created by Anti-Nuclear Antibodies (ANAs) in the patient serum.
Roman Stoklasa +2 more
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