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

Result 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.

Keywords

PCAultrasoundneural networkimage processing

The result's identifiers

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

    Jx - 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