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APPLICATION OF OPTIMISATION METHODS FOR MRI DATA SEGMENTATION

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU127919" target="_blank" >RIV/00216305:26220/18:PU127919 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.feec.vutbr.cz/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf" target="_blank" >http://www.feec.vutbr.cz/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    APPLICATION OF OPTIMISATION METHODS FOR MRI DATA SEGMENTATION

  • Original language description

    The presented paper describes a use of metaheuristic algorithm for medical image segmentation. First section is dedicated to a brief introduction to the principles of this kind of segmentation and second section is used for description of used algorithms and used approaches to segmentation. Next sections are used for presentations of achieved results.

  • Czech name

    APPLICATION OF OPTIMISATION METHODS FOR MRI DATA SEGMENTATION

  • Czech description

    The presented paper describes a use of metaheuristic algorithm for medical image segmentation. First section is dedicated to a brief introduction to the principles of this kind of segmentation and second section is used for description of used algorithms and used approaches to segmentation. Next sections are used for presentations of achieved results.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 24th Conference STUDENT EEICT 2018

  • ISBN

    978-80-214-5614-3

  • ISSN

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    12-14

  • Publisher name

    Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Apr 26, 2018

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article