NOVEL HYBRID ALGORITHM USING CONVOLUTIONAL AUTOENCODER WITH SVM FOR ELECTRICAL IMPEDANCE TOMOGRAPHY AND ULTRASOUND COMPUTED TOMOGRAPHY
Łukasz Maciura
lukasz.maciura@netrix.com.plResearch and Development Center, Netrix S.A,. Lublin, Poland (Poland)
http://orcid.org/0000-0001-8657-3472
Dariusz Wójcik
Research and Development Center, Netrix S.A,. Lublin, Poland (Poland)
http://orcid.org/0000-0002-4200-3432
Tomasz Rymarczyk
Research and Development Center, Netrix S.A,. Lublin, Poland (Poland)
http://orcid.org/0000-0002-3524-9151
Krzysztof Król
Research and Development Center, Netrix S.A,. Lublin, Poland (Poland)
http://orcid.org/0000-0002-0114-2794
Abstract
This paper presents a new hybrid algorithm using multiple Support Vector Machines models with convolutional autoencoder to Electrical Impedance Tomography, and Ultrasound Computed Tomography image reconstruction. The ultimate hybrid solution uses multiple SVM models to convert input measurements to individual autoencoder codes representing a given scene then the decoder part of the autoencoder can reconstruct the scene
Keywords:
convolutional autoencoder, SVM, electrical impedance tomography, ultrasound transmission tomographyReferences
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Authors
Łukasz Maciuralukasz.maciura@netrix.com.pl
Research and Development Center, Netrix S.A,. Lublin, Poland Poland
http://orcid.org/0000-0001-8657-3472
Authors
Dariusz WójcikResearch and Development Center, Netrix S.A,. Lublin, Poland Poland
http://orcid.org/0000-0002-4200-3432
Authors
Tomasz RymarczykResearch and Development Center, Netrix S.A,. Lublin, Poland Poland
http://orcid.org/0000-0002-3524-9151
Authors
Krzysztof KrólResearch and Development Center, Netrix S.A,. Lublin, Poland Poland
http://orcid.org/0000-0002-0114-2794
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