Gaussian mixture model for texture-based medical image analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F06%3A00094745" target="_blank" >RIV/67985556:_____/06:00094745 - 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
Gaussian mixture model for texture-based medical image analysis
Original language description
A method for medical diagnosing using Gaussian mixture model is presented in this paper. Gaussian mixture model is used for clustering of texture feature vectors. EM algorithm is used for Gaussian mixture model parameters estimation. To demonstrate the method, experiment with real data is presented, diagnosing the common liver lesions using computed tomography (CT) images.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2006
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 Sixth IASTED International Conference on Modelling, Simulation, and Optimization 2006
ISBN
978-0-88986-591-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
Acta Press
Place of publication
Calgary
Event location
Gaborone
Event date
Sep 11, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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