Automatic System for Diseased Artery Transverse Section Detection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU127221" target="_blank" >RIV/00216305:26220/18:PU127221 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SPIN.2018.8474262" target="_blank" >http://dx.doi.org/10.1109/SPIN.2018.8474262</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SPIN.2018.8474262" target="_blank" >10.1109/SPIN.2018.8474262</a>

Result language
angličtina
Original language name
Automatic System for Diseased Artery Transverse Section Detection
Original language description
This article deals with an artery transversal section detection from ultrasound medical images. Exact localization of artery is needed for measuring artery properties, which can be used for diagnosing vascular diseases such as atherosclerosis, hypoplasia. Image processing methods are non-invasive, fast and cheap. In this work, the Viola-Jones object detector was used and further adopted for artery detection problem. In comparison with the other approaches created method improves speed and accuracy of detection mainly for unhealthy arteries. Created methods achieves 96% accuracy for healthy arteries and 95% accuracy of detection for unhealthy arteries. Average detection time per image was 2.5 milliseconds.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)
ISBN
978-1-5386-3045-7
ISSN
—
e-ISSN
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Number of pages
5
Pages from-to
322-326
Publisher name
Neuveden
Place of publication
Dillí, Indie
Event location
Dept. of ECE, ASET, Amity University, Noida Sec-
Event date
Feb 22, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000446953700061

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