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Imaging and Feature Selection Using GA-FDA Algorithm for the Classification of Mid-Infrared Biomedical Images

Published online by Cambridge University Press:  25 July 2016

Rupali Mankar ,
Vishal Verma ,
Michael Walsh ,
Carlos Bueso-Ramos  and
David Mayerich
Rupali Mankar
Affiliation:
Department of Electrical and Computer Engineering, University of Houston, Houston, USA
Vishal Verma
Affiliation:
Department of Pathology, University of Illinois at Chicago, Chicago, USA
Michael Walsh
Affiliation:
Department of Pathology, University of Illinois at Chicago, Chicago, USA
Carlos Bueso-Ramos
Affiliation:
Division of Pathology/Lab Medicine, University of Texas MD Anderson Cancer Center, Houston, USA
David Mayerich
Affiliation:
Department of Electrical and Computer Engineering, University of Houston, Houston, USA

Abstract

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Type
Abstract
Information
Microscopy and Microanalysis , Volume 22 , Supplement S3: Proceedings of Microscopy & Microanalysis 2016 , July 2016 , pp. 1008 - 1009
Copyright
© Microscopy Society of America 2016 

References

[1] Fernandez, D., et al, Nature Biotechnology 23, 469–474, 2005.CrossRefGoogle Scholar
[2] Baker, M., et al, Nature Protocols, 1771–1791, 2014.Google Scholar
[3] Cui, M., et al, IEEE: Applied earth observation and remote sensing Vol.6, No.3, June2013.Google Scholar
[4] Mayerich, D., et al, Technology 03(1), 27 (20).Google Scholar