Title
Using Complex Networks Towards Information Retrieval And Diagnostics In Multidimensional Imaging
Abstract
We present a fresh and broad yet simple approach towards information retrieval in general and diagnostics in particular by applying the theory of complex networks on multidimensional, dynamic images. We demonstrate a successful use of our method with the time series generated from high content thermal imaging videos of patients suffering from the aqueous deficient dry eye (ADDE) disease. Remarkably, network analyses of thermal imaging time series of contact lens users and patients upon whom Laser-Assisted in situ Keratomileusis (Lasik) surgery has been conducted, exhibit pronounced similarity with results obtained from ADDE patients. We also propose a general framework for the transformation of multidimensional images to networks for futuristic biometry. Our approach is general and scalable to other fluctuation-based devices where network parameters derived from fluctuations, act as effective discriminators and diagnostic markers.
Year
DOI
Venue
2015
10.1038/srep17271
SCIENTIFIC REPORTS
Field
DocType
Volume
Information retrieval,Computer science,Contact lens,Complex network,Scalability
Journal
5
Issue
ISSN
Citations 
1
2045-2322
3
PageRank 
References 
Authors
0.55
18
7