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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F12%3A00382295%21RIV13-AV0-67985556
rdf:type
skos:Concept n14:Vysledek
dcterms:description
We consider the recently proposed evaluation of screening mammograms by local statistical models. The model is defined as a joint probability density of inside grey levels of a suitably chosen search window. We approximate the model density by a mixture of Gaussian densities. Having estimated the mixture parameters we calculate at all window positions the corresponding log-likelihood values which can be displayed as grey levels at the respective window centers. The resulting log-likelihood image closely correlates with the original mammogram and emphasizes the structural details. In this paper we try to enhance the log-likelihood images by using structural mixture model capable of suppressing the influence of noisy variables. We consider the recently proposed evaluation of screening mammograms by local statistical models. The model is defined as a joint probability density of inside grey levels of a suitably chosen search window. We approximate the model density by a mixture of Gaussian densities. Having estimated the mixture parameters we calculate at all window positions the corresponding log-likelihood values which can be displayed as grey levels at the respective window centers. The resulting log-likelihood image closely correlates with the original mammogram and emphasizes the structural details. In this paper we try to enhance the log-likelihood images by using structural mixture model capable of suppressing the influence of noisy variables.
dcterms:title
Evaluation of Screening Mammograms by Local Structural Mixture Models Evaluation of Screening Mammograms by Local Structural Mixture Models
skos:prefLabel
Evaluation of Screening Mammograms by Local Structural Mixture Models Evaluation of Screening Mammograms by Local Structural Mixture Models
skos:notation
RIV/67985556:_____/12:00382295!RIV13-AV0-67985556
n14:predkladatel
n15:ico%3A67985556
n4:aktivita
n12:I n12:P
n4:aktivity
I, P(GA102/08/0593)
n4:dodaniDat
n18:2013
n4:domaciTvurceVysledku
n20:5728525
n4:druhVysledku
n8:D
n4:duvernostUdaju
n16:S
n4:entitaPredkladatele
n19:predkladatel
n4:idSjednocenehoVysledku
135172
n4:idVysledku
RIV/67985556:_____/12:00382295
n4:jazykVysledku
n6:eng
n4:klicovaSlova
Screening mammography; Texture information; Local statistical model; Log-likelihood image; Structural Gaussian mixture
n4:klicoveSlovo
n5:Structural%20Gaussian%20mixture n5:Log-likelihood%20image n5:Texture%20information n5:Local%20statistical%20model n5:Screening%20mammography
n4:kontrolniKodProRIV
[1A683C4C635A]
n4:mistoKonaniAkce
Zlenice near Prague
n4:mistoVydani
Praha
n4:nazevZdroje
Stochastic and Physical Monitoring Systems SPSM 2012
n4:obor
n11:IN
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
2
n4:projekt
n9:GA102%2F08%2F0593
n4:rokUplatneniVysledku
n18:2012
n4:tvurceVysledku
Grim, Jiří Lee, G. L.
n4:typAkce
n21:EUR
n4:zahajeniAkce
2012-06-25+02:00
s:numberOfPages
11
n7:hasPublisher
České vysoké učení technické v Praze
n10:isbn
978-80-01-05130-6