"Sensitivity Analysis for Reproducibility of Ultrasound Image Classification"@en . . . "Smutek, D." . "quantitative analysis; sensitivity analysis; texture classification; thyroid gland; ultrasound"@en . . "P(NO7742), Z(MSM 210000012)" . "\u0160\u00E1ra, Radim" . "Sensitivity Analysis for Reproducibility of Ultrasound Image Classification" . "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"@en . "Ljubljana" . "Sensitivity Analysis for Reproducibility of Ultrasound Image Classification"@en . "Nen\u00ED k dispozici"@cs . . . . "Proceedings of the Computer Vision Winter Workshop 2004 (CVWW'04)" . "2"^^ . "3"^^ . "10"^^ . . "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" . "89 ; 98" . "Slovenian Pattern Recognition Society" . . "Sensitivity Analysis for Reproducibility of Ultrasound Image Classification" . "RIV/68407700:21230/04:03096467" . . "\u0160vec, Martin" . . "RIV/68407700:21230/04:03096467!RIV/2005/MSM/212305/N" . . "585877" . "Nen\u00ED k dispozici"@cs . . "[1D52C3648A01]" . . "21230" . . . . . . "Nen\u00ED k dispozici"@cs . . "2004-02-04+01:00"^^ . . . "Piran" .