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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F11%3APU94842%21RIV12-MSM-26220___
rdf:type
n9:Vysledek skos:Concept
dcterms:description
This paper deals with localization of Temporomandibular Joint Disc (TJD) in Magnetic Resonance Images (MRI). Since the contrast of the TJD is quite low when compared to noise ratio when displayed using MRI, its detection is quite complicated. Therefore the method described in this paper are not not focused the disk itself but detect the most significant objects around TJD, which has usually much higher contrast. For the automatic TJD localization asessment, a training set containing 160 training samples (80 positive and 80 negative) were created and published and several approaches were examined to find the best method. The best results were achieved using support vector machine with Gaussian kernel, which achieved $98.16 \pm 2.81 \%$ accuracy of detection. The creation of the training models for feature extraction and model evaluation was implemented with RapidMiner tool and the IMMI extension. The models created are published at the IMMI extension homepage and they can also serve as a guide to use This paper deals with localization of Temporomandibular Joint Disc (TJD) in Magnetic Resonance Images (MRI). Since the contrast of the TJD is quite low when compared to noise ratio when displayed using MRI, its detection is quite complicated. Therefore the method described in this paper are not not focused the disk itself but detect the most significant objects around TJD, which has usually much higher contrast. For the automatic TJD localization asessment, a training set containing 160 training samples (80 positive and 80 negative) were created and published and several approaches were examined to find the best method. The best results were achieved using support vector machine with Gaussian kernel, which achieved $98.16 \pm 2.81 \%$ accuracy of detection. The creation of the training models for feature extraction and model evaluation was implemented with RapidMiner tool and the IMMI extension. The models created are published at the IMMI extension homepage and they can also serve as a guide to use
dcterms:title
Automated Localization of Temporomandibular Joint Disc in MRI Images Automated Localization of Temporomandibular Joint Disc in MRI Images
skos:prefLabel
Automated Localization of Temporomandibular Joint Disc in MRI Images Automated Localization of Temporomandibular Joint Disc in MRI Images
skos:notation
RIV/00216305:26220/11:PU94842!RIV12-MSM-26220___
n9:predkladatel
n22:orjk%3A26220
n3:aktivita
n6:S n6:P
n3:aktivity
P(ME10123), S
n3:dodaniDat
n15:2012
n3:domaciTvurceVysledku
n12:2629291 n12:8261571 n12:3662934 n12:5621437
n3:druhVysledku
n19:D
n3:duvernostUdaju
n11:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
187544
n3:idVysledku
RIV/00216305:26220/11:PU94842
n3:jazykVysledku
n17:eng
n3:klicovaSlova
image processing, object detection, temporomandibular joint disc, MRI
n3:klicoveSlovo
n7:MRI n7:image%20processing n7:temporomandibular%20joint%20disc n7:object%20detection
n3:kontrolniKodProRIV
[7D9829B7F218]
n3:mistoKonaniAkce
Budapest
n3:mistoVydani
Neuveden
n3:nazevZdroje
2011 34th International Conference on Telecommunications and Signal Processing (TSP)
n3:obor
n5:IN
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n10:ME10123
n3:rokUplatneniVysledku
n15:2011
n3:tvurceVysledku
Číka, Petr Burget, Radim Mašek, Jan Zukal, Martin
n3:typAkce
n14:WRD
n3:zahajeniAkce
2011-08-18+02:00
s:numberOfPages
4
n18:hasPublisher
Neuveden
n21:isbn
978-1-4577-1409-2
n8:organizacniJednotka
26220