About: Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images

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About: Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This work deals with fully automated extraction of brain tumor and edema in 3D MR volumes. The goal of this work is the extraction of the whole pathological area using such an algorithm that does not require a human intervention. For the good visibility of these kinds of tissues both T2-weighted and FLAIR images were used. The proposed method was tested on 80 MR volumes of publicly available BRATS database, which contains high and low grade gliomas, both real and simulated. The performance was evaluated by Dice coefficient, where the results were differentiated between high and low grade and real and simulated gliomas. The method reached promising results for all of the combination of images: real high grade (0.73), real low grade (0.81), simulated high grade (0.81), simulated low grade (0.81). This work deals with fully automated extraction of brain tumor and edema in 3D MR volumes. The goal of this work is the extraction of the whole pathological area using such an algorithm that does not require a human intervention. For the good visibility of these kinds of tissues both T2-weighted and FLAIR images were used. The proposed method was tested on 80 MR volumes of publicly available BRATS database, which contains high and low grade gliomas, both real and simulated. The performance was evaluated by Dice coefficient, where the results were differentiated between high and low grade and real and simulated gliomas. The method reached promising results for all of the combination of images: real high grade (0.73), real low grade (0.81), simulated high grade (0.81), simulated low grade (0.81). (en)
Title	Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images (en)
skos:prefLabel	Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images (en)
skos:notation	RIV/00216305:26220/14:PU110790!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita	I P S
http://linked.open...avai/riv/aktivity	I, P(GAP102/12/1104), P(LD14091), S
http://linked.open...iv/cisloPeriodika	6
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Smékal, Zdeněk Dvořák, Pavel
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
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	52045
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/14:PU110790
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Brain tumor, Brain tumor segmentation, Extraction, Magnetic Resonance, MRI, Pathology, Segmentation, Symmetry analysis. (en)
http://linked.open.../riv/klicoveSlovo	Brain tumor Magnetic Resonance MRI Extraction Segmentation Pathology Brain tumor segmentation Symmetry analysis.
http://linked.open...odStatuVydavatele	SK - Slovenská republika
http://linked.open...ontrolniKodProRIV	[B70833CB2BC2]
http://linked.open...i/riv/nazevZdroje	Measurement Science Review
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Primary and soft biometric and non-biometric traits in the de-identification process of audio-visual content in multimedia data Study of metabolism and localization of high grade glioma using MR imaging techniques
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	14
http://linked.open...iv/tvurceVysledku	Bartušek, Karel Dvořák, Pavel Smékal, Zdeněk
issn	1335-8871
number of pages	8 (xsd:int)
http://localhost/t...ganizacniJednotka	26220

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