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The Image Recognition of Brain-Stem Ultrasound Images with using a Neural Network based on PCA

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F11%3A%230003726" target="_blank" >RIV/47813059:19240/11:#0003726 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Image Recognition of Brain-Stem Ultrasound Images with using a Neural Network based on PCA

  • Original language description

    This paper shows how to solve the recognition of ultrasound brain-stem images. Our work is based on PCA method that is very useful and known method for image processing. We will demonstrate a solving with C# application, Gnumeric spreadsheet as a standard solution. Also we will use an artificial neural networks (ANN) for this problem and we will compare a results. The ANN are generally very usable for image processing. It has been demonstrated with NeuroSolutions software that is very sophisticated simulator of ANN with PCA multilayer (ML) NN topology.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    JOURNAL of APPLIED MATHEMATICS AND INFORMATICS

  • ISSN

    2074-1278

  • e-ISSN

  • Volume of the periodical

    5

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    46-54

  • UT code for WoS article

  • EID of the result in the Scopus database