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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F04%3A03096467%21RIV%2F2005%2FMSM%2F212305%2FN
rdf:type
skos:Concept n18:Vysledek
dcterms:description
Ultrasound B-mode images of thyroid gland were previously analyzed to distinguish normal tissue from inflamed tissue due to Hashimoto's Lymphocytic Thyroiditis. This is a two-class recognition problem. Sensitivity and specificity of 100% was reported using Bayesian classifier with optimal texture features. These results were obtained on 99 subjects at a fixed setting of the sonograph, for a given manual thyroid gland segmentation and sonographic scan type (longitudinal, transversal). To evaluate the reproducibility of the method, sensitivity analysis is the topic of this paper. A general method for determining feature sensitivity to variables influencing the scanning process is proposed. Jensen Shannon distances between modified and unmodified inter- and intra-class feature probability distributions capture the changes induced by the variables. It is shown there are stable features insensitive to small sonograph gain changes and gland segmentation. Features computed from transversal sc Není k dispozici Ultrasound B-mode images of thyroid gland were previously analyzed to distinguish normal tissue from inflamed tissue due to Hashimoto's Lymphocytic Thyroiditis. This is a two-class recognition problem. Sensitivity and specificity of 100% was reported using Bayesian classifier with optimal texture features. These results were obtained on 99 subjects at a fixed setting of the sonograph, for a given manual thyroid gland segmentation and sonographic scan type (longitudinal, transversal). To evaluate the reproducibility of the method, sensitivity analysis is the topic of this paper. A general method for determining feature sensitivity to variables influencing the scanning process is proposed. Jensen Shannon distances between modified and unmodified inter- and intra-class feature probability distributions capture the changes induced by the variables. It is shown there are stable features insensitive to small sonograph gain changes and gland segmentation. Features computed from transversal sc
dcterms:title
Sensitivity Analysis for Reproducibility of Ultrasound Image Classification Sensitivity Analysis for Reproducibility of Ultrasound Image Classification Není k dispozici
skos:prefLabel
Sensitivity Analysis for Reproducibility of Ultrasound Image Classification Sensitivity Analysis for Reproducibility of Ultrasound Image Classification Není k dispozici
skos:notation
RIV/68407700:21230/04:03096467!RIV/2005/MSM/212305/N
n4:strany
89 ; 98
n4:aktivita
n13:Z n13:P
n4:aktivity
P(NO7742), Z(MSM 210000012)
n4:dodaniDat
n17:2005
n4:domaciTvurceVysledku
n5:9640533 n5:8930112
n4:druhVysledku
n20:D
n4:duvernostUdaju
n10:S
n4:entitaPredkladatele
n21:predkladatel
n4:idSjednocenehoVysledku
585877
n4:idVysledku
RIV/68407700:21230/04:03096467
n4:jazykVysledku
n15:eng
n4:klicovaSlova
quantitative analysis; sensitivity analysis; texture classification; thyroid gland; ultrasound
n4:klicoveSlovo
n6:texture%20classification n6:quantitative%20analysis n6:ultrasound n6:thyroid%20gland n6:sensitivity%20analysis
n4:kontrolniKodProRIV
[1D52C3648A01]
n4:mistoKonaniAkce
Piran
n4:mistoVydani
Ljubljana
n4:nazevZdroje
Proceedings of the Computer Vision Winter Workshop 2004 (CVWW'04)
n4:obor
n14:JD
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
3
n4:projekt
n7:NO7742
n4:rokUplatneniVysledku
n17:2004
n4:tvurceVysledku
Smutek, D. Šára, Radim Švec, Martin
n4:typAkce
n19:WRD
n4:zahajeniAkce
2004-02-04+01:00
n4:zamer
n9:MSM%20210000012
s:numberOfPages
10
n12:hasPublisher
Slovenian Pattern Recognition Society
n16:organizacniJednotka
21230