Support Vector Machines in MR Images Segmentation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F13%3A00398102" target="_blank" >RIV/68081731:_____/13:00398102 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/13:PU104722
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Support Vector Machines in MR Images Segmentation
Original language description
The problem most frequently encountered in the practical processing of medical images consists in the lack of instruments enabling machine evaluation of the images. A typical example of this situation is perfusion analysis of brain tumor types. The firstand very significant step lies in the segmentation of individual parts of the brain tumor; after segmentation, the rate of penetration by the applied contrast agent is observed in the parts. The common method, in which a high error rate has to be considered, is to mark these tumor portions manually. The quality of brain tissue segmentation exerts significant influence on the quality of evaluation of perfusion parameters; consequently, the tumor type recognition is also influenced. The authors describeclassification methods enabling the segmentation of images acquired via magnetic resonance tomography. During the edema segmentation, we obtained the following data: sensitivity 0.78+-0.09, specificity 1.00+-0.00, error rate 0.45+-0.24 %,
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
Measurement 2013. Proceedings of the 9th International Conference on Measurement
ISBN
978-80-969672-5-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
157-160
Publisher name
Institute of Measurement Science SAS
Place of publication
Bratislava
Event location
Smolenice
Event date
May 27, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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