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Automatic detection of brain tumors in MR images

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F13%3A00397902" target="_blank" >RIV/68081731:_____/13:00397902 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/TSP.2013.6614000" target="_blank" >http://dx.doi.org/10.1109/TSP.2013.6614000</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TSP.2013.6614000" target="_blank" >10.1109/TSP.2013.6614000</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic detection of brain tumors in MR images

  • Original language description

    This paper deals with automatic brain tumor detection in magnetic resonance images. The goal is to determine whether the MR image of a brain contains a tumor. The proposed method works with T2-weighted magnetic resonance images, where the head is vertically aligned. The detection is based on checking the left-right symmetry of the brain, which is the assumption for healthy brain. The algorithm was tested by fivefold cross-validation technique on 72 images of brain containing tumors and 131 images of healthy brain. The proposed method reaches the true positive rate of 91.16% and the true negative rate of 94.68%.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    TSP 2013. 36th International Conference on Telecommunications and Signal Processing (Proceedings IEEE)

  • ISBN

    978-1-4799-0404-4

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    577-580

  • Publisher name

    University of technolgy

  • Place of publication

    Brno

  • Event location

    Rome

  • Event date

    Jul 2, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article