Sensitivity Analysis for Reproducibility of Ultrasound Image Classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03096467" target="_blank" >RIV/68407700:21230/04:03096467 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Sensitivity Analysis for Reproducibility of Ultrasound Image Classification
Original language 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
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/NO7742" target="_blank" >NO7742: Supporting diagnostics of the diffuse parenchymal processes by texture analysis of ultrasound images</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Computer Vision Winter Workshop 2004 (CVWW'04)
ISBN
—
ISSN
—
e-ISSN
—
Number of pages
10
Pages from-to
89-98
Publisher name
Slovenian Pattern Recognition Society
Place of publication
Ljubljana
Event location
Piran
Event date
Feb 4, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—