2010 | OriginalPaper | Buchkapitel
Advances in Computer-Based Autoantibodies Analysis
verfasst von : Paolo Soda, Giulio Iannello
Erschienen in: Biomedical Engineering Systems and Technologies
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Indirect Immunofluorescence (IIF) imaging is the recommended me-thod to detect autoantibodies in patient serum, whose common markers are antinuclear autoantibodies (ANA) and autoantibodies directed against double strand DNA (anti-dsDNA). Since the availability of accurately performed and correctly reported laboratory determinations is crucial for the clinicians, an evident medical demand is the development of Computer Aided Diagnosis (CAD) tools supporting physicians’ decisions.
In this paper we present a comprehensive system that helps in recognising the presence of ANA and anti-dsDNA autoantibodies. The analysis of CAD performance shows its potential in lowering the method variability, in increasing the level of standardization and in serving as a second reader reducing the physicians’ workload. The system has been successfully tested on annotated datasets.