Multi-Step Learning-by-Examples Strategy for Real-Time Brain Stroke Microwave Scattering Data Inversion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F21%3A00345170" target="_blank" >RIV/68407700:21460/21:00345170 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3390/electronics10010095" target="_blank" >https://doi.org/10.3390/electronics10010095</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/electronics10010095" target="_blank" >10.3390/electronics10010095</a>
Alternative languages
Result language
angličtina
Original language name
Multi-Step Learning-by-Examples Strategy for Real-Time Brain Stroke Microwave Scattering Data Inversion
Original language description
This work deals with the computationally-efficient inversion of microwave scattering data for brain stroke detection and monitoring. The proposed multi-step approach is based on the Learning-by-Examples (LBE) paradigm and naturally matches the stages and time constraints of an effective clinical diagnosis. Stroke detection, identification, and localization are solved with real-time performance through support vector machines (SVMs) operating both in binary/multiclass classification and in regression modalities. Experimental results dealing with the inversion of laboratory-controlled data are shown to verify the effectiveness of the proposed multi-step LBE methodology and prove its suitability as a viable alternative/support to standard medical diagnostic methods.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/LTC19031" target="_blank" >LTC19031: Development of metamaterial applicators for the regional hyperthermia system and evaluation of the accuracy of treatment planning algorithms</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Electronics
ISSN
2079-9292
e-ISSN
2079-9292
Volume of the periodical
10
Issue of the periodical within the volume
1
Country of publishing house
CH - SWITZERLAND
Number of pages
17
Pages from-to
1-17
UT code for WoS article
000605924600001
EID of the result in the Scopus database
2-s2.0-85099424523