About: Automatic Brain Tumor Detection in T2-weighted Magnetic Resonance Images

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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 focuses on fully automatic detection of brain tumors. The first aim is to determine, whether the image contains a brain with a tumor, and if it does, localize it. The goal of this work is not the exact segmentation of tumors, but the localization of their approximate position. The test database contains 203 T2-weighted images of which 131 are images of healthy brain and the remaining 72 images contain brain with pathological area. The estimation, whether the image shows an afflicted brain and where a pathological area is, is done by multi resolution symmetry analysis. The first goal was tested by five-fold cross-validation technique with 100 repetitions to avoid the result dependency on sample order. This part of the proposed method reaches the true positive rate of 87.52% and the true negative rate of 93.14% for an afflicted brain detection. The evaluation of the second part of the algorithm was carried out by comparing the estimated location to the true tumor location. The detection of the tumor location reaches the rate of 95.83% of correct anomaly detection and the rate 87.5% of correct tumor location. This work focuses on fully automatic detection of brain tumors. The first aim is to determine, whether the image contains a brain with a tumor, and if it does, localize it. The goal of this work is not the exact segmentation of tumors, but the localization of their approximate position. The test database contains 203 T2-weighted images of which 131 are images of healthy brain and the remaining 72 images contain brain with pathological area. The estimation, whether the image shows an afflicted brain and where a pathological area is, is done by multi resolution symmetry analysis. The first goal was tested by five-fold cross-validation technique with 100 repetitions to avoid the result dependency on sample order. This part of the proposed method reaches the true positive rate of 87.52% and the true negative rate of 93.14% for an afflicted brain detection. The evaluation of the second part of the algorithm was carried out by comparing the estimated location to the true tumor location. The detection of the tumor location reaches the rate of 95.83% of correct anomaly detection and the rate 87.5% of correct tumor location. (en)
Title	Automatic Brain Tumor Detection in T2-weighted Magnetic Resonance Images Automatic Brain Tumor Detection in T2-weighted Magnetic Resonance Images (en)
skos:prefLabel	Automatic Brain Tumor Detection in T2-weighted Magnetic Resonance Images Automatic Brain Tumor Detection in T2-weighted Magnetic Resonance Images (en)
skos:notation	RIV/68081731:_____/13:00397669!RIV14-GA0-68081731
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(ED0017/01/01), P(GAP102/12/1104)
http://linked.open...iv/cisloPeriodika	5
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Bartušek, Karel 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	Ústav přístrojové techniky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	62585
http://linked.open...ai/riv/idVysledku	RIV/68081731:_____/13:00397669
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Brain tumor; Brain tumor detection; Symmetry analysis (en)
http://linked.open.../riv/klicoveSlovo	Brain tumor detection Symmetry analysis Brain tumor
http://linked.open...odStatuVydavatele	SK - Slovenská republika
http://linked.open...ontrolniKodProRIV	[1C2BE3777EBE]
http://linked.open...i/riv/nazevZdroje	Measurement Science Review
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	2 (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...v/svazekPeriodika	13
http://linked.open...iv/tvurceVysledku	Bartušek, Karel Dvořák, Pavel Kropatsch, W. G.
http://linked.open...ain/vavai/riv/wos	000326683300001
issn	1335-8871
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.2478/msr-2013-0034

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