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APPLICATION OF GENETIC ALGORITHMS IN ARE OF MEDICAL IMAGES SEGMENTATION

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86079600" target="_blank" >RIV/61989100:27240/11:86079600 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    APPLICATION OF GENETIC ALGORITHMS IN ARE OF MEDICAL IMAGES SEGMENTATION

  • Original language description

    In this paper we deal with analysis and evaluation of objects of interest which are present in ultrasound images as well as assessment of the progress or regressions that occurred in these objects. These objects are highly significant from a medicinal perspective and include atherosclerostic plaque in carotid arteries, the intima-media thickness in the distal part of the common carotid artery, cerebral cortex size and brain stem findings in cases of Parkinson disease. Here, we describe procedures employing combination of common methods and evolutionary algorithms for recognizing points of interest in the images that may serve in determining various parameters and properties of analyzed objects. We use the evolutionary algorithms to optimize the energyfunction of deformable models used to approximate the locations and shapes of object boundaries in images. We suppose that evolutionary algorithms can be used to find the desired global solution. Evolutionary algorithms are based on princ

  • 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

    International Journal on Information Technologie ans Security.

  • ISSN

    1313-8251

  • e-ISSN

  • Volume of the periodical

    1

  • Issue of the periodical within the volume

  • Country of publishing house

    BG - BULGARIA

  • Number of pages

    10

  • Pages from-to

    13-22

  • UT code for WoS article

  • EID of the result in the Scopus database