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Detection of Brain Tumors Based on Automatic Symmetry Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU102460" target="_blank" >RIV/00216305:26220/13:PU102460 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection of Brain Tumors Based on Automatic Symmetry Analysis

  • Original language description

    This article focuses on the detection of a brain tumor location in magnetic resonance images. The aim of this work is not the precise segmentation of the tumor and its parts but only the detection of its approximate location. It will be used in future work for more accurate segmentation. For this reason, it also does not deal with detecting of the images containing the tumor. The algorithm expects a 2D T2-weighted magnetic resonance image of brain containing a tumor. The detection is based on locating the area that breaks the left-right symmetry of the brain. The created algorithm was tested on 73 images containing tumor, tumor with edema or only edema. These pathological structures had various sizes and shapes and were located in various parts of thebrain.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    Proceedings of the 18th Computer Vision Winter Workshop Hernstein, Austria, February 4-6, 2013

  • ISBN

    978-3-200-02943-9

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    24-31

  • Publisher name

    Neuveden

  • Place of publication

    Hernstein, Rakousko

  • Event location

    Hernstein

  • Event date

    Feb 4, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article