HEp-2 staining pattern recognition at cell and specimen levels: datasets, algorithms and results

Hobson, Peter, Lovell, Brian C., Percannella, Gennaro, Saggese, Alessia, Vento, Mario and Wiliem, Arnold (2016) HEp-2 staining pattern recognition at cell and specimen levels: datasets, algorithms and results. Pattern Recognition Letters, . doi:10.1016/j.patrec.2016.07.013


Author Hobson, Peter
Lovell, Brian C.
Percannella, Gennaro
Saggese, Alessia
Vento, Mario
Wiliem, Arnold
Title HEp-2 staining pattern recognition at cell and specimen levels: datasets, algorithms and results
Journal name Pattern Recognition Letters   Check publisher's open access policy
ISSN 0167-8655
1872-7344
Publication date 2016
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.patrec.2016.07.013
Open Access Status Not Open Access
Total pages 11
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2017
Language eng
Abstract The Indirect Immunofluorescence (IIF) protocol applied on Human Epithelial type 2 (HEp-2) cells is the current gold standard for the Antinuclear Antibody (ANA) test. The formulation of the diagnosis requires the visual analysis of a patient’s specimen under a fluorescence microscope in order to recognize the cells’ staining pattern which could be related to a connective tissue disease. This analysis is time consuming and error prone, thus in the recent past we have witnessed a growing interest in the pattern recognition scientific community directed at the development of methods for supporting this complex task. The main driver of the interest towards this problem is represented by the series of international benchmarking initiatives organized in the last four years that allowed dozens of research groups to propose innovative methodologies for HEp-2 cells’ staining pattern classification. In this paper we update the state of the art on HEp-2 cells and specimens classification, by analyzing the performance achieved by the methods participating the contest on Performance Evaluation of IIF Image Analysis Systems, hosted by the 22nd edition of the International Conference on Pattern Recognition ICPR 2014, and to the Executable Thematic Special Issue of Pattern Recognition Letters on Pattern Recognition Techniques for IIF Images Analysis, and by highlighting the trends in the design of the best performing methods.
Keyword ANA test
HEp-2 cells
Computer Aided Diagnoses
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
 
Versions
Version Filter Type
Citation counts: Google Scholar Search Google Scholar
Created: Thu, 04 Aug 2016, 12:12:47 EST by Arnold Wiliem on behalf of School of Information Technol and Elec Engineering