About: Support Vector Machines in MR Images Segmentation

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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 first and 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 describe classification 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 %, surface overlap 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 first and 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 describe classification 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 %, surface overlap (en)
Title	Support Vector Machines in MR Images Segmentation Support Vector Machines in MR Images Segmentation (en)
skos:prefLabel	Support Vector Machines in MR Images Segmentation Support Vector Machines in MR Images Segmentation (en)
skos:notation	RIV/00216305:26220/13:PU104722!RIV14-GA0-26220___
http://linked.open...avai/riv/aktivita	I P S
http://linked.open...avai/riv/aktivity	I, P(ED0017/01/01), P(GAP102/12/1104), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Mikulka, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	109051
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/13:PU104722
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Perfusion analysis, brain tumor segmentation, data classification, support vector machines, multi-parametric segmentation (en)
http://linked.open.../riv/klicoveSlovo	brain tumor segmentation multi-parametric segmentation support vector machines Perfusion analysis data classification
http://linked.open...ontrolniKodProRIV	[ED7A4CF094AB]
http://linked.open...v/mistoKonaniAkce	Smolenice
http://linked.open...i/riv/mistoVydani	Neuveden
http://linked.open...i/riv/nazevZdroje	Measurement 2013
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	APPLICATION LABORATORIES OF ADVANCED MICROTECHNOLOGIES AND NANOTECHNOLOGIES Study of metabolism and localization of high grade glioma using MR imaging techniques
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Bartušek, Karel Dvořák, Pavel Mikulka, Jan
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2013-05-26 (xsd:date)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	9788096967254
http://localhost/t...ganizacniJednotka	26220

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