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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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