NOVEL HYBRID ALGORITHM USING CONVOLUTIONAL AUTOENCODER WITH SVM FOR ELECTRICAL IMPEDANCE TOMOGRAPHY AND ULTRASOUND COMPUTED TOMOGRAPHY

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...

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Published inInformatyka, automatyka, pomiary w gospodarce i ochronie środowiska Vol. 13; no. 2; pp. 4 - 9
Main Authors Maciura, Łukasz, Wójcik, Dariusz, Rymarczyk, Tomasz, Król, Krzysztof
Format Journal Article
LanguageEnglish
Published Lublin University of Technology 30.06.2023
Subjects
convolutional autoencoder
electrical impedance tomography
SVM
ultrasound transmission tomography
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Summary: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
ISSN:2083-0157
2391-6761
DOI:10.35784/iapgos.3377