BLAHUTA, Jiří, Jakub SKÁCEL and Petr ČERMÁK. An investigation of key features of atherosclerotic plaques on B-images in comparison with histological patterns to ischemic stroke prediction. Online. In 2017 13TH INTERNATIONAL COMPUTER ENGINEERING CONFERENCE (ICENCO). New York: IEEE, 2017, p. 73-78. ISBN 978-1-5386-4266-5. Available from: https://dx.doi.org/10.1109/ICENCO.2017.8289766.
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Basic information
Original name An investigation of key features of atherosclerotic plaques on B-images in comparison with histological patterns to ischemic stroke prediction
Authors BLAHUTA, Jiří (203 Czech Republic, guarantor, belonging to the institution), Jakub SKÁCEL (203 Czech Republic, belonging to the institution) and Petr ČERMÁK (203 Czech Republic, belonging to the institution).
Edition New York, 2017 13TH INTERNATIONAL COMPUTER ENGINEERING CONFERENCE (ICENCO), p. 73-78, 6 pp. 2017.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/47813059:19240/17:A0000154
Organization Filozoficko-přírodovědecká fakulta – Slezská univerzita v Opavě – Repository
ISBN 978-1-5386-4266-5
Doi http://dx.doi.org/10.1109/ICENCO.2017.8289766
UT WoS 000426982100014
Keywords in English ultrasound; ischemic stroke; B-image; histological patterns; features image processing
Tags SGS32016, ÚI
Tags International impact, Reviewed
Links ED1.1.00/02.0070, research and development project.
Changed by Changed by: Mgr. Kamil Matula, učo 1145. Changed: 26/3/2018 15:56.
Abstract
This paper is focused on analysis of possible key features of atherosclerotic plaques displayed in B-images. There are two main aims: How to distinct normal and stenosis and how to compare stenosis in B-image in comparison with histological patterns. We have a set of B-images and corresponding histological patterns of atherosclerotic plaques which caused ischemic stroke. The goal of the paper is to investigate which features in B-images should be reliable and clear to distinct normal and stenosis and also which features could be compare with histological to determine ischemic stroke risk. There are some limitations in B-images such as complex structure and noise. Finding the reliable features is crucial step to create an expert system based on the analysis of these features. The output of the expert system should be set to probability of stenosis risk according to features of atherosclerotic plaque properties as rule base. The presented paper is a pilot study.
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