Paper Info
Title
Advances in Computer-Based Autoantibodies Analysis
Abstract
Indirect Immunofluorescence (BF) imaging is the recommended method 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.
Year
DOI
Venue
2009
10.1007/978-3-642-11721-3_26
BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES
Field
DocType
Volume
CAD,IIf,Simulation,Computer science,Computer-aided diagnosis,Artificial intelligence,Computational biology,Autoantibody,Double strand dna,Indirect immunofluorescence,Machine learning
Conference
52
ISSN
Citations 
PageRank 
1865-0929
0
0.34
References 
Authors
11
2
Name
Order
Citations
PageRank
Paolo Soda140739.44
Giulio Iannello241446.75