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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F14%3APU110790%21RIV15-MSM-26220___
rdf:type
skos:Concept n16:Vysledek
dcterms: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).
dcterms:title
Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images
skos:prefLabel
Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images Unsupervised Pathological Area Extraction Using 3D T2 and FLAIR MR Images
skos:notation
RIV/00216305:26220/14:PU110790!RIV15-MSM-26220___
n3:aktivita
n10:I n10:S n10:P
n3:aktivity
I, P(GAP102/12/1104), P(LD14091), S
n3:cisloPeriodika
6
n3:dodaniDat
n14:2015
n3:domaciTvurceVysledku
n9:4075439 n9:8053022
n3:druhVysledku
n8:J
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
52045
n3:idVysledku
RIV/00216305:26220/14:PU110790
n3:jazykVysledku
n17:eng
n3:klicovaSlova
Brain tumor, Brain tumor segmentation, Extraction, Magnetic Resonance, MRI, Pathology, Segmentation, Symmetry analysis.
n3:klicoveSlovo
n5:Brain%20tumor%20segmentation n5:MRI n5:Brain%20tumor n5:Pathology n5:Symmetry%20analysis. n5:Magnetic%20Resonance n5:Segmentation n5:Extraction
n3:kodStatuVydavatele
SK - Slovenská republika
n3:kontrolniKodProRIV
[B70833CB2BC2]
n3:nazevZdroje
Measurement Science Review
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
3
n3:projekt
n18:LD14091 n18:GAP102%2F12%2F1104
n3:rokUplatneniVysledku
n14:2014
n3:svazekPeriodika
14
n3:tvurceVysledku
Dvořák, Pavel Smékal, Zdeněk Bartušek, Karel
s:issn
1335-8871
s:numberOfPages
8
n7:organizacniJednotka
26220