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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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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
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Volume of the periodical
1
Issue of the periodical within the volume
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Country of publishing house
BG - BULGARIA
Number of pages
10
Pages from-to
13-22
UT code for WoS article
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EID of the result in the Scopus database
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