Semi-automatic Ultrasound Medical Image Recognition for Diseases Classification in Neurology
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19240%2F13%3A%230004816" target="_blank" >RIV/47813059:19240/13:#0004816 - 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
Semi-automatic Ultrasound Medical Image Recognition for Diseases Classification in Neurology
Original language description
The main aim of this work is semi-automatic ROI positionig in transcranial medical images based on multi-agent systems (MAS) in preprocessing module. Designed approach is based on image processing and is realized by means of artifical intelligence, MAS,which has been experimentally designed in Matlab software environment. Within this processing has been worked with a set of TCS static images in grayscale and binary representation to experimental testing to positioning. This designed application is usedfor diseases classification in neurology.
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
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Studies in Computional Intelligence
ISSN
1860-949X
e-ISSN
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Volume of the periodical
473
Issue of the periodical within the volume
neuveden
Country of publishing house
CH - SWITZERLAND
Number of pages
9
Pages from-to
125-133
UT code for WoS article
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EID of the result in the Scopus database
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